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References

This page lists publications that have used or cited NetLogo software and/or models.

This list is by no means complete or exhaustive. If you are using and/or citing NetLogo in your work, or you know of work that is not listed, please send the relevant citations to netlogo-refs@ccl.northwestern.edu.

= Publications authored by the CCL

In Press 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999

In Press

  • Abdollahian, M., Yang, Z.,. & Nelson H. (In press). Techno-Social Energy Infrastructure Siting: Sustainable Energy Modeling Programming (SEMPro). Journal of Artificial Societies and Social Simulation (JASSS), 16 (3): 6. [HTML] (June 2013)
  • Dykstra, P., Elsenbroich, C., Jager W., de Lavalette, G.R., & Verbrugge, R. (In Press). Put Your Money Where Your Mouth Is: DIAL, A Dialogical Model for Opinion Dynamics. Journal of Artificial Societies and Social Simulation (JASSS), 16 (3): 4. [HTML] (June 2013)
  • Jansson, F. (In Press). Pitfalls in Spatial Modelling of Ethnocentrism: A Simulation Analysis of the Model of Hammond and Axelrod. Journal of Artificial Societies and Social Simulation (JASSS), 16 (3): 2. [HTML] (June 2013)
  • Maroulis, S & Wilensky, U. (In press). Social and Task Interdependencies in the Street-Level Implementation of Innovation. Journal of Public Administration Research and Theory.
  • Moore, J.C., R.B. Boone, A. Koyama, and K. Holfeder. (In Press). Enzymatic and detrital influences on the structure, function, and dynamics of spatially-explicit model ecosystems. Biochemistry.
  • Shiba, N. (In Press). Analysis of Asymmetric Two-Sided Matching: Agent-Based Simulation with Theorem-Proof Approach. Journal of Artificial Societies and Social Simulation (JASSS), 16 (3): 11. [HTML] (June 2013)
  • Sirer, I., Maroulis, S., Guimera, R, Wilensky, U. & Amaral, L.A.N. (In progress). Student Enrollment Patterns in Chicago Public Schools.
  • Wagh, A. & Wilensky, U. (in press). Seeing patterns of change: Supporting student noticing in building models of natural selection. Proceedings of 2014 Constructionism, Vienna, Aug 19-23.
  • Weisberg, M. (In press). Understanding the Emergence of Population Behavior in Individual-Based Models. Philosophy of Science.
  • Wilensky, U. & Jacobson, M. (In press). Complex Systems in the Learning Sciences. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (2nd Edition). Cambridge, MA: Cambridge University Press.
  • Wilensky, U., & Rand, W. (In press). An introduction to agent-based modeling: Modeling natural, social and engineered complex systems with NetLogo. Cambridge, MA: MIT Press.

2014

  • Alden, K., Timmis, J., & Coles, M. (2014). Easing Parameter Sensitivity Analysis of Netlogo Simulations using SPARTAN. ALIFE 14: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems. [HTML]
  • Ampatzidis, G., & Ergazaki, M. (2014). Towards a learning environment for challenging the idea of the balanced nature: Insights from the first cycle of research. In C. P. Constantinou, N. Papadouris & A. Hadjigeorgiou (Eds.), E-Book. Proceedings of the ESERA 2013 Conference: Science Education Research For Evidence-based Teaching and Coherence in Learning. Part 3 (pp. 44-54). Nicosia, Cyprus: European Science Education Research Association. [HTML]
  • Biotechnology and Biological Sciences Research Council. (2014). Virtual bees help to unravel complex causes of colony decline. ScienceDaily. [HTML]
  • Brady, C., Holbert, N. Soylu, F., Novak, M., Wilensky, U. (2014). Sandboxes for model-based inquiry. Science Teaching and Learning with Models,” Journal of Science Education and Technology (JOST) [Special Issue].
  • Epstein, J.M. (2014). Agent_Zero: Toward Neurocognitive Foundations for Generative Social Science. New Jersey: Princeton University Press. [HTML]
  • Guo, Y., & Wilensky, U. (2014) Beesmart: a microworld for swarming behavior and for learning complex systems concepts. Proceedings of the Constructionism 2014 Conference. Vienna, Austria. August 2014.
  • Horn, M.; Brady, C.; Hjorth, A., Wagh, A. & Wilensky, U. (2014). Frog Pond: A code first learning environment on natural selection and evolution. Proceedings of IDC 2014.
  • Horn, M.S., Weintrop, D., & Routman, E. (2014). Programming in the Pond: A Tabletop Computer Programming Exhibit. In Proceedings of the Extended Abstracts of the 32nd Annual ACM Conference on Human Factors in Computing Systems (pp. 1417–1422). New York, NY, USA: ACM.
  • Jona, K., Wilensky, U., Trouille, L., Horn, M. S., Orton, K., Weintrop, D., & Beheshti, E. (2014). Embedding Computational Thinking in Science, Technology, Engineering, and Math (CT-STEM). Presented at the 2014 CE21 PI and Community Meeting, Orlando, FL.
  • Labarbe, E., & Thiel, D. (2014). Information Sharing to Reduce Misperceptions of Interactions Among Complementary Projects: A Multi-Agent Approach. Journal of Artificial Societies and Social Simulation (JASSS), 17 (1): 9. [HTML] (Jan 2014)
  • Lee, K., Lee, H., & Kim, C.O. (2014). Pricing and Timing Strategies for New Product Using Agent-Based Simulation of Behavioural Consumers. Journal of Artificial Societies and Social Simulation (JASSS), 17 (2): 1. [HTML] (March 2014)
  • Lee, T., Yao, R., & Coker, P. (2014). An analysis of UK policies for domestic energy reduction using an agent based tool. Energy Policy, vol. 66, 267-279. [HTML] (March 2014)
  • León, F.J., Miguel, F.J., & Alcaide, V. (2014). The Production of Step-Level Public Goods in Structured Social Networks: An Agent-Based Simulation. Journal of Artificial Societies and Social Simulation (JASSS), 17 (1): 4. [HTML] (Jan 2014)
  • Lim, D., Lee, H., Zo, H., & Ciganek, A. (2014). Opinion Formation in the Digital Divide. Journal of Artificial Societies and Social Simulation (JASSS), 17 (1): 13. [HTML] (Jan 2014)
  • Maldos, J.P.A., & de Figueiredo, J.C.B. (2014). Projeto de Iniciação Científica: O Uso de Programação Multiagente no Estudo da Difusão de Inovações Tecnológicas. [HTML]
  • Maroulis, S., Bakshy, E., Gomez, L. & Wilensky, U. (2014). Modeling the Transition to Public School Choice. Journal of Artificial Societies and Social Simulation.
  • Oremland, M., & Laubenbacher, R. (2014). Optimization of Agent-Based Models: Scaling Methods and Heuristic Algorithms. Journal of Artificial Societies and Social Simulation (JASSS), 17 (2): 6. [HTML] (March 2014)
  • Pluchino, A., Garofalo, C., Inturri, G., Rapisarda, A., & Ignaccolo, M. (2014). Agent-Based Simulation of Pedestrian Behaviour in Closed Spaces: A Museum Case Study. Journal of Artificial Societies and Social Simulation (JASSS), 17 (1): 16. [HTML] (Jan 2014)
  • Rhee, J.M. (2014). Promoting Convergence: The Phi Spiral in Abduction of Mouse Corneal Behaviors. In Complexity. [HTML]
  • Shaker, N., Togelius, J., & Nelson, M.J. (2014). Procedural Content Generation in Games: A textbook and an overview of current research. Springer Publishing. [HTML]
  • Sie, R., Sloep, P.B., & Bitter-Rijpkema, M. (2014). If We Work Together, I Will Have Greater Power: Coalitions in Networked Innovation. Journal of Artificial Societies and Social Simulation (JASSS), 17 (1): 3. [HTML] (Jan 2014)
  • Soylu, F., Brady, C., Holbert, N., Wilensky, U. (2014) The thinking hand: Embodiment of tool use, social cognition and metaphorical thinking and implications for learning design. Paper presented at the AERA Annual Meeting (SIG: Brain, Neurosciences, and Education), Philadelphia, PA: April, 2014
  • Stroup, W., & Wilensky, U. (2014). On the Embedded Complementarity of Agent-Based and Aggregate Reasoning in Students' Developing Understanding of Dynamic Systems. Technology, Knowledge and Learning, 19(1-2).
  • Wagh, A. & Wilensky, U. (2014). EvoBuild: Programming models of evolutionary change using blocks. Poster presented at the 2014 Annual Meeting of the AERA, Philadelphia.

  • Weintrop, D., Beheshti, E., Horn, M. S., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2014) Interactive Assessment Tools for Computational Thinking in High School STEM Classrooms. Paper presented at INTETAIN 2014, Chicago, IL.
  • Wilensky, U. (2014). Computational Thinking through Modeling and Simulation. Whitepaper presented at the summit on Future Directions in Computer Education. Orlando, FL. Jan 8-9, 2014. [HTML]
  • Xu, B., Liu, R., & Liu, W. (2014). Individual Bias and Organizational Objectivity: An Agent-Based Simulation. Journal of Artificial Societies and Social Simulation (JASSS), 17 (2): 2. [HTML] (March 2014)
  • Zhang, H., & Li, Y. (2014). Agent-Based Simulation of the Search Behavior in China's Resale Housing Market: Evidence from Beijing. Journal of Artificial Societies and Social Simulation (JASSS), 17 (1): 18. [HTML] (Jan 2014)

2013

  • Arslan, M.O. & İcan, Ö. (2013). "An Agent-Based Analysis of Tax Compliance for Turkey." Anadolu University Journal of Social Sciences. 13 (2): 143-152. [PDF]
  • Arslan, M.O. & İcan, Ö. (2013). "The Effects of Neighborhood on Tax Compliance Rates: Evidence from an Agent-Based Model." Journal of Cukurova University Institute of Social Sciences. 22 (1): 337-350. [PDF]
  • Bajracharya, K. & Duboz, R. (2013). Comparison of Three Agent-Based Platforms on the Basis of a Simple Epidemiological Model (WIP). In the Proceedings of the the Symposium on Theory of Modeling & Simulation, DEVS Integrative M&S Symposium, San Diego, CA. [PDF]
  • Bezirgiannis, N. (2013). Improving Performance of Simulation Software Using Haskell's Concurrency & Parallelism. Universiteit Utrecht. [HTML] (Sept 2013)
  • Biondo, A.E., Pluchino, A., & Rapisarda, A. (2013). Return Migration After Brain Drain: A Simulation Approach. Journal of Artificial Societies and Social Simulation (JASSS), 16 (2): 11. [HTML]
  • Boone, Randall B., Moore, John C., Koyama, Akihiro, Holfelder, Kirstin (2013, November 21). "Soil microbe-predator model with enzymes" (Version 1). CoMSES Computational Model Library.
  • Borsboom, A, & Craner, A. O. (2013). Network analysis: An integrative approach to the structure of psychopathology.. Annual Review of Clinical Psychology, 9, 91-121. [HTML]
  • Collard, P., Mesmoudi, S., Ghetiu, T., & Polack, F. (2013). Emergence of Frontiers in Networked Schelling Segregationist Models, Journal Complex Systems, Vol. 22, Issue 1, 2013. [HTML]
  • Collard, P., Verel, S. & Clergue, M. (2013). Systèmes Complexes: une introduction par la pratique [Complex Systems: An Introduction to Practice]. Presses Polytechniques et Universitaires Romandes. Publisher of the EPFL Press, Lausanne [France], 306 p. (ISBN: 978-2-88074-991-0)
  • Borsboom, D, & Cramer, A. O. (2013). Network analysis: An integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9, 91-121.[HTML]
  • Damaceanu, R-C. (2013). Agent-Based Computational Economics Using NetLogo. Bentham Science Publishers. [HTML]
  • Demarest, J., Pagsuyoin, S., Learmonth, G., Mellor, J., & Dillingham, R. (2013). Development of a Spatial and Temporal Agent-Based Model for Studying Water and Health Relationships: The Case Study of Two Villages in Limpopo, South Africa. Journal of Artificial Societies and Social Simulation (JASSS), 16 (4): 3. [HTML] (Oct 2013)
  • Duarte Olson, I. (2013). Cultural Differences Between Favela and Asfalto in Complex Systems Thinking. Journal of Cognition and Culture, 13(1-2), 145-157. doi:10.1163/15685373-12342089 [PDF]
  • Duarte Olson, I. (2013). Inequality in Levels: Navigating Everyday Complexity. In Ojalehto,B., Medin, D. Conceptualizing Complex Systems: How People Navigate Social and Ecological Systems. Symposium accepted to the Society for Anthropological Sciences Meeting.
  • Duarte Olson, I. (2013). "It's like an epidemic, it catches on": Community Knowledge of Everyday Complex Phenomena. In C. Lee and G. Saxe. (Co-chairs). Capitalizing on Knowledge Co-Constructed via the Praxis of Historically Nondominant Groups. Symposium accepted to the American Educational Research Association Conference
  • Delaney, L., Kleczkowski, A., Maharaj, S., Rasmussen, S., & Williams, L. (2013). Reflections on a Virtual Experiment Addressing Human Behavior During Epidemics. Summer Computer Simulation Conference. ACM Digital Library. [HTML]
  • Duckham, M. (2013). Decentralized Spatial Computing: Foundations of Geosensor Networks.Springer. [HTML]
  • Frank, B.M. & Baret, P.V. (2013). "Simulating brown trout demogenetics in a river/nursery brook system: The individual-based model DemGenTrout." Ecological Modelling 248: 184-202. [HTML]
  • Frey, S. & Goldstone, R.L. (2013). Cyclic game dynamics driven by iterated reasoning. PLOS ONE, 8 (2): 2-11. [PDF]
  • Ghorbani, A., Bots, P., Dignum, V. and Dijkema, G. (2013). MAIA: a Framework for Developing Agent-Based Social Simulations. Journal of Artificial Societies and Social Simulation (JASSS), 16 (2): 9. [HTML]
  • Ginovart, M. (2013). Discovering the Power of Individual-Based Modelling in Teaching and Learning: The Study of a Predator-Prey System. Journal of Science Education and Technology (JSET). [HTML]
  • Gkiolmas, A., Karamanos, K., Chalkidis, A., Skordoulis, C., Papaconstantinou, M., & Stavrou, D. (2013). Using Simulations of NetLogo as a Tool for Introducing Greek High-School Students to Eco-Systemic Thinking. Advances In Systems' Science and Applications 13(3) : 275-297. [PDF]
  • Grüter, C., Schürch, R., Farina, W.M., 2013. Task-partitioning in insect societies: Non-random direct material transfers affect both colony efficiency and information flow. J. Theor. Biol. 327, 23–33. doi:10.1016/j.jtbi.2013.02.013
  • Gulden, T.R. (2013). Agent-Based Modeling as a Tool for Trade and Development Theory. Journal of Artificial Societies and Social Simulation (JASSS), 16 (2): 1. [HTML]
  • Guerrero, D.A., Jimenez, R.M., & Rodriguez-Colina, E. (2013). WSN simulation model with a complex systems approach. In Proceedings of the 2013 Summer Computer Simulation Conference (SCSC '13), Article No. 41. [PDF]
  • Heckbert, S. (2013). MayaSim: An Agent-Based Model of the Ancient Maya Social-Ecological System. Journal of Artificial Societies and Social Simulation (JASSS), 16 (4): 11. [HTML] (Oct 2013)
  • Kasmire, J., Nikolic, I., & Dijkema, G. (2013). Evolving Greenhouses: An Agent-Based Model of Universal Darwinism in Greenhouse Horticulture. Journal of Artificial Societies and Social Simulation (JASSS), 16 (4): 7. [HTML] (Oct 2013)
  • Kim, Y., Zhong, W., and Chun, Y. (2013). Modeling Sanction Choices on Fraudulent Benefit Exchanges in Public Service Delivery. Journal of Artificial Societies and Social Simulation (JASSS), 16 (2): 8. [HTML]
  • Lee, M., Kim, S., Kim, C-O, Park, T. (2013). An Agent-Based Competitive Product Diffusion Model for the Estimation and Sensitivity Analysis of Social Network Structure and Purchase Time Distribution Journal of Artificial Societies and Social Simulation. 16 (1): 3 [HTML]
  • Lee, T., Yao, R, (2013). Incorporating technology buying behaviour into UK-based long term domestic stock energy models to provide improved policy analysis. Energy Policy. 52: 63–72. [PDF]
  • Liu, C., Sibly, R.M., Grimm, V. & Thorbek, P. (2013). Linking pesticide exposure and spatial dynamics: an individual-based model of wood mouse (Apodemus sylvaticus) populations in agricultural landscapes. Ecological Modelling. 248: 92-102. [PDF]
  • Ma, Y., Shen, Z., & Kawakami, M. (2013). Agent-Based Simulation of Residential Promoting Policy Effects on Downtown Revitalization. Journal of Artificial Societies and Social Simulation (JASSS), 16 (2): 2. [HTML]
  • Malik, A.A., Crooks, A.T., & Root, H.L. (2013). “Can Pakistan have Creative Cities? An Agent Based Modeling Approach with Preliminary Application to Karachi.” Pakistan Strategy Support Program Working Paper 13, International Food Policy Research Institute (IFPRI), Washington, D.C. [HTML]
  • Manzo, G. (2013). “Educational Choices and Social Interactions: A Formal Model and A Computational Test.” Comparative Social Research, 30, 47-100. [PDF]
  • Martin, B.T., Jager, T., Preuss, T., Nisbet, R. & Grimm, V. (2013). Predicting population dynamics from the properties of individuals: a test of Dynamic Energy Budget theory. American Naturalist [PDF]
  • Muscalagiu, I. (2013). MAS NetLogo Models-a. [HTML]
  • Muscalagiu, I., Popa, H.E., & Vidal, J. (2013). Clustered Computing with NetLogo for the evaluation of asynchronous search techniques. In proceedings of 12th IEEE International Conference on Intelligent Software Methodologies, Tools and Techniques (SOMET 2013), pag. 115-120, September, Budapest. [HTML]
  • Muscalagiu, I., Popa, H.E., & Vidal, J. (2013). Large Scale Multi-Agent-Based Simulation using NetLogo for implementation and evaluation of the distributed constraints. In proceedings of IJCAI – DCR 2013, 23rd International Joint Conference on Artificial Intelligence - Workshop on Distributed Constraint Reasoning, Beijing.
  • Muscalagiu, I., Illes, C., & Popa, H.E.(2013). Large Scale Multi-Agent-Based Simulation using NetLogo for the multi-robot exploration problem. In IEEE 11th International Conference on Industrial Informatics, Bochum, Germany, pp. 225-230. [HTML]
  • Newman, S. D., & Soylu, F. (2013). The impact of finger counting habits on arithmetic in adults and children. Psychological research, 1-8. [HTML]
  • Passos, G.F., & Chamovitz, I. (2013). Modelo De Responsabilidade Organizacional, Aplicado Em Empresa Pública De Tecnologia Da Informação E Fundamentado Em Dinâmica De Sistemas. In: IX Congresso Nacional de Excelência em Gestão – CNEG 2013, 2013, Rio de Janeiro – RJ. [PDF]
  • Passos, G.F., Chamovitz, I., Theodoulidis, B. (2013). Organizational Responsibility Model: Dealing with Demand for Services Higher Than Installed Capacity. In: Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on. IEEE, 2013. p. 4415-4420. [HTML]
  • Pennisi, Marzio; Rajput, Abdul-Mateen; Pappalardo, Francesco; Toldo, Luca Pennisi, M.; Rajput, A.; Toldo, L.; Pappalardo, F. (2013). Agent based modeling of Treg-Teff cross regulation in relapsing-remitting multiple sclerosis Bio Med Central [HTML]
  • Pinacho, P., Pau, I., Chacón, M., Sánchez, S. (2013). An ecological approach to anomaly detection: The EIA model. Artifical Immune Systems: Lecture Notes in Computer Science, Vol. 7597, 2012. [PDF]
  • Pontoppidan, M.B., & Nachman, G. (2013). Changes in behavioural responses to infrastructure affect local and regional connectivity - A simulation study on pond breeding amphibians. Nature Conservation 5: 13-28. doi: 10.3897/natureconservation.5.4611
  • Pontoppidan, M.B., & Nachman, G. (2013). Effects of within-patch heterogeneity on connectivity in pond-breeding amphibians studied by means of an individual-based model. Web Ecol., 13, 21-29, doi:10.5194/we-13-21-2013
  • Pontoppidan, M.B., & Nachman, G. (2013). Spatial Amphibian Impact Assessment - A management tool for assessment of road effects on regional populations of Moor frogs (Rana arvalis). Nature Conservation 5: 29-52. doi: 10.3897/natureconservation.5.4612
  • Roman, B. (2013). An Agent-based Model for the Humanities. Digital Humanities Quarterly, 7 (1). [HTML]
  • Squazzoni, F. Gandelli, C. (2013). Opening the Black-Box of Peer Review: An Agent-Based Model of Scientist Behaviour. Journal of Artificial Societies and Social Simulation (JASSS), 16 (2): 3. [HTML]
  • Tisue, S., & Wilensky, U. (2004, updated 2013). NetLogo: Design and implementation of a multi-agent modeling environment. In Proceedings of the Agent 2004 Conference on Social Dynamics: Interaction, Reflexivity and Emergence, Chicago, Illinois, October 2004. [PDF]
  • Tomasini, M., Zambonelli,, F., & Menezes, R. (2013). Using patterns of social dynamics in the design of social networks of sensors. Green Computing and Communications (GreenCom), IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing.
  • Tomasini, M., et al. (2013). Evaluating the Performance of Social Networks of Sensors under Different Mobility Models. Social Computing (SocialCom), International Conference on. IEEE.
  • Trouille, L., Beheshti, E., Horn, M., Jona, K., Kalogera, V., Weintrop, D., & Wilensky, U. (2013). Bringing Computational Thinking into the High School Science and Math Classroom. In American Astronomical Society, AAS Meeting #221, #201.09
  • Vinatier, F., Gosme, M., & Valantin-Morison, M. (2013). Explaining host-parasitoid interactions at the landscape scale: a new approach for calibration and sensitivity analysis of complex spatio-temporal models. Landscape Ecology. 28 (2): 217-231. [PDF]
  • White, D. & Levin, J. (2013). Navigating the Turbulent Waters of School Reform Guided by Complexity Theory. Paper presented at the meetings of the American Educational Research Association, San Francisco, California, USA. [PDF]
  • Wagh. A. & Wilensky, U. (2013). Leveling the playing field: Making multi-level evolutionary processes accessible through participatory simulations. Proceedings of CSCL, Madison, Wisconsin, June 15-19
  • Wagner, N., Agrawal, V. (2013). An agent-based simulation system for concert venue crowd evacuation modeling in the presence of a fire disaster. Expert Systems with Applications 2013 [HTML]
  • Waldeck, R. (2013). Segregated Cooperation. Journal of Artificial Societies and Social Simulation (JASSS), 16 (4): 14. [HTML] (Oct 2013)
  • Wilensky, U. (2001, updated 2013) Modeling nature's emergent patterns with multi-agent languages. Proceedings of EuroLogo 2001. Linz, Austria. [PDF]
  • Weintrop, D, Hjorth, A, & Wilensky, U. (2013). Know Your Network: Learning Social Networks Analysis Through Meaningful Manipulation. Poster presented at InfoSocial 2013. Evanston, IL, USA.
  • Wiens, J., & Monett, D. (2013). Using BDI-extended NetLogo Agents in Undergraduate CS Research and Teaching. In H.R. Arabnia, A. Bahrami, V.A. Clincy, L. Deligiannidis, and G. Jandieri (eds.), Proceedings of The 9th International Conference on Frontiers in Education: Computer Science and Computer Engineering, FECS 2013. CSREA Press U.S.A., pp. 396-402, Las Vegas, NV. (ISBN: 1-60132-243-7). [PDF]
  • Weisberg, M. (2013). Modeling Herding Behavior and Its Risks. Journal of Economic Methodology, 20, 6–18.
  • Weisberg, M. (2013). Simulation and Similarity: Using Models to Understand the World. Oxford University Press.

2012

  • Almeida, J., Kokkinogenis, Z., & Rossetti, R. (2012). NetLogo implementation of an evacuation scenario. In the Proceedings of the 7th Iberian Conference on Information Systems and Technologies (CISTI).
  • Berkel, S. v., Turi, D., Pruteanu, A., & Dulman, S. (2012). Automatic discovery of algorithms for multi-agent systems. Paper presented at the Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion, Philadelphia, Pennsylvania, USA. [PDF]
  • Bragin, J. (2012). Book review of: Niazi, M.A., & Hussain, A. (2012). Cognitive Agent-Based Computing-I: a Unified Framework for Modeling Complex Adaptive Systems Using Agent-Based & Complex Network-Based Methods (SpringerBriefs in Cognitive Computation). Journal of Artificial Societies and Social Simulation. 16 (3) Reviews - 4 [HTML]
  • Chee Siang Ang and Panayiotis Zaphiris. 2009. Simulating Social Networks of Online Communities: Simulation as a Method for Sociability Design. In Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II (INTERACT '09), Tom Gross, Jan Gulliksen, Paula Kotzé, Lars Oestreicher, Philippe Palanque, Raquel Oliveira Prates, and Marco Winckler (Eds.). Springer-Verlag, Berlin, Heidelberg, 443-456.
  • Collard, M., Collard, P., & Stattner, E. (2012). Mobility and Information Flow: Percolation in a Multi-Agent Model. International Conference on Ambient Systems, Networks and Technologies (ANT), ed. Elseiver. Procedia CS, Vol. 10, p. 22-29, 2012. [HTML]
  • Ferguson, J. (2012). Semiotic Analysis of Students’ Use of Multi-Agent Based Modeling Software (NetLogo) in Making Meaning of Complex Systems in Science. Paper presented at the Proceedings of the Contemporary Approaches to Research in Mathematics, Science, Health and Environmental Education Symposium, Melbourne, Australia. [PDF]
  • Gargiulo, Floriana, Lenormand, Maxime, Huet, Sylvie and Baqueiro Espinosa, Omar. (2012) "Commuting Network Models: Getting the Essentials" , Journal of Artificial Societies and Social Simulation
  • Ginovart, M. & Prats, C. (2012). A bacterial individual-based virtual bioreactor to test handling protocols in a NetLogo platform. Paper presented at the Proceedings of the 7th Vienna International Conference on Mathematical Modelling, Vienna, Austria. [PDF]
  • Gkiolmas A., Chalkidis A., Karamanos K., Papaconstantinou M., Skordoulis C. (2012). A constructionist method for teaching teachers about basic properties of complex systems, using a NetLogo model. Paper presented at the Proceedings of the conference "CONSTRUCTIONISM 2012", Athens, Greece. [PDF]
  • Grüter, C., Schürch, R., Czaczkes, T.J., Taylor, K., Durance, T., Jones, S.M., Ratnieks, F.L.W., 2012. Negative feedback enables fast and flexible collective decision-making in ants. Public Libr. Sci. One 7, e44501. doi:10.1371/journal.pone.0044501zzzz
  • Hassani-Mahmooei, B. & Parris, B.W. (2012) Climate change and internal migration patterns in Bangladesh: an agent-based model. Environment and Development Economics, DOI: 10.1017/S1355770X12000290, Published online: 27 July 2012
  • Hassani-Mahmooei, B & Parris, B.W. (2012) Resource Scarcity, Effort Allocation and Environmental Security: An agent-based theoretical approach. Economic Modeling, DOI: 10.1016/j.econmod.2012.08.020
  • Hargrove, W. & Westerveldt, J. (2012). An Implementation of the Pathway Analysis Through Habitat (PATH) Algorithm Using NetLogo. Ecologist-developed Spatially-explicit Dynamic Landscape Models; Modeling Dynamic Systems; Springerlink pg. 211-222. [PDF]
  • Heckbert, S., Isendahl, C., Gunn, J., Brewer, S., Scarborough, V., Chase, A.F., Chase, D.Z., Costanza, R., Dunning, N., Beach, T., Luzzadder-Beach, S., Lentz D., & Sinclair, P. (2012). Growing the Maya social-ecological system from the bottom up: complex systems models of resilience. In: Handbook of Historical Ecology and Applied Archaeology, C. Isendahl & D. Stump, eds. Oxford University Press
  • Hickey, D.T., Soylu, F. (2012). Wikifolios, reflections, and exams for online engagement, understanding, and achievement. Journal of Teaching and Learning with Technology: 64-71. [PDF]
  • Hjorth, A. & Wilensky, U. (2012). Acting like a Turtle: A NetLogo Kinect Extension. Proceedings of the Constructionism 2012 Conference. Athens, Greece, Aug 21-25. [HTML]
  • Horn, M. S., Weintrop, D., Beheshti, E., & Olson, I. C. (2012). Spinners, Dice, and Pawns: Using Board Games to Prepare for Agent-Based Modeling Activities. Presented at the AERA, Vancouver, Canada. [PDF]
  • Horn, M.S. & Wilensky, U. (2012). NetTango: A mash-up of NetLogo and Tern. In Moher, T. (chair) and Pinkard, N. (discussant), When systems collide: Challenges and opportunities in learning technology mashups. Symposium presented at the annual meeting of the American Education Research Association,Vancouver, British Columbia.
  • Kahn, K., Noble, H., Hjorth, A., & Sampaio, F.F. (2012) Three-minute Constructionist Experiences. Paper presented at the Proceedings of Constructionism 2012, Athens, Greece
  • Karamanos, K., Gkiolmas, A., Chalkidis, A., Skordoulis, C., Papaconstantinou, M., & Stavrou, D. (2012). Ecosystem food-webs as dynamic systems: Educating undergraduate teachers in conceptualizing aspects of food-webs’ systemic nature and comportment. Advances in Systems Science and Application 12 (4): 49-68 [PDF]
  • Kimbrough, S (2012).Agents, Games, and Evolution. CRC Press, Boca Raton, Florida.
  • Larrosa, Juan MC (2012). Algoritmos evolutivos en juegos de formación de red. Una aplicación en NetLogo [Evolutive Algorithms in Network Formation Games: A NetLogo Application]. Editorial Académica Española: Saarbrucker (Germany), 168 p. (ISBN-13: 978-3-659-05434-1)
  • Larrosa, Juan MC (2012). Introducción a la economía computacional basada en agentes con aplicaciones NetLogo [Introduction to Agent-Based Computational Economics with NetLogo Applications]. EdiUNS: Bahía Blanca (Argentina). 216 p. (ISBN: 978-987-1907-15-1)
  • Le Page, Christophe, Becu, Nicolas, Bommel, Pierre and Bousquet, Francois (2012). Participatory Agent-Based Simulation for Renewable Resource Management: The Role of the Cormas Simulation Platform to Nurture a Community of Practice. Journal of Artificial Societies and Social Simulation (JASSS) 15 (1): 10.
  • Levin, J. & Datnow, A. (2012). "The Principal Role in Data Driven Decision Making: Using Case Study Data to Develop Multi-Mediator Models of Educational Reform" School Effectiveness and School Improvement. 23 (2): 179-201 [PDF]
  • Lin, Y., Berger, U., Grimm, V., Ji, Q-R. (2012). Differences between symmetric and asymmetric facilitation matter: exploring the interplay between modes of positive and negative plant interactions. Journal of Ecology. DOI: 10.1111/j.1365-2745.2012.02019.x
  • Liu, C., Sibly, R.M., Grimm, V. & Thorbek, P. (2012). Linking pesticide exposure and spatial dynamics: an individual-based model of wood mouse (Apodemus sylvaticus) populations in agricultural landscapes. Ecological Modelling.
  • Lytinen, S. L. and S. F. Railsback. (2012) "The Evolution of Agent-based Simulation Platforms: A Review of NetLogo 5.0 and ReLogo." To appear in Proceedings of the Fourth International Symposium on Agent-Based Modeling and Simulation, at the 21st European Meeting on Cybernetics and Systems Research (EMCSR 2012), Vienna, Austria, April 2012.
  • Maharaj, S., Kleczkowski, A. (2012). Controlling Epidemic Spread by Social Distancing: Do it well or not at all. BMC Public Health 12:679 [HTML]
  • Martin, B.T., Jager, T., Preuss, T., Nisbet, R. & Grimm, V. (2012). Predicting population dynamics from the properties of individuals: a test of Dynamic Energy Budget theory. American Naturalist.
  • Martin, B.T., Zimmer, E.I., Grimm, V. & Jager, T. (2012) Dynamic Energy Budget theory meets individual-based modelling: a generic and accessible implementation. Methods in Ecology and Evolution3: 445-449
  • Mialhe, F., Becu, N., & Gunnell, Y. (2012). An agent-based model for analyzing land use dynamics in response to farmer behaviour and environmental change in the Pampanga delta (Philippines). Agriculture, Ecosystems & Environment, Volume 161, 15 October 2012, pages 55-69. [HTML]
  • Montes, G. (2012). Using Artifical Societies to Understand the Impact of Teacher Student Match on Academic Performance: The Case of Same Race Effects. Journal of Artificial Societies and Social Simulation. 15 (4) 8 [HTML]
  • Muscalagiu, I., Iordan, A., Osaci, M., & Panoiu, M. (2012). Modeling and simulation of the protein folding problem in DisCSP-Netlogo. AWERProcedia Information Technology and Computer, vol 2.
  • Patel, A., Crooks, A., & Koizumi, N. (2012). Slumulation: An Agent-Based Modeling Approach to Slum Formulations. Journal of Artificial Societies and Social Simulation (JASSS), 15 (4): 2. [HTML] (Oct 2012)
  • Pinacho, P., Pau, I., Chacón, M., & Sánchez, S. (2012). “An ecological approach to anomaly detection: the EIA model” in Artificial Immune Systems: Lecture Notes in Computer Science, vol. 7597, pp. 232-245. [HTML]
  • Purnomo H, Suyamto D, Irawati RH. (2012) Harnessing the climate commons: an agent-based modelling approach to making reducing emission from deforestation and degradation. (REDD)+work. Mitigation and Adaptation Strategies for Global Change.
  • Ramírez, R., Harris, P.D., Bakke, T.A. (2012). An agent-based modelling approach to estimate error in gyrodactylid population growth. International Journal for Parasitology. 2(9): 809-17. doi: 10.1016/j.ijpara.2012.05.012 [PDF]
  • Rhee, J. M. & Iannaccone, P. M. (2012) Mapping mouse hemangioblast maturation from headfold stages. Developmental Biology. 365 (1):1-13. doi:10.1016/j.ydbio.2012.02.023 [PDF]
  • Ross, J. (2012). A comparative study of simulation software for modeling stability operations. In the Proceedings of the 2012 Symposium on Military Modeling and Simulation. [PDF]
  • Schindler, Julia (2012). Rethinking the Tragedy of the Commons: The Integration of Socio-Psychological Dispositions. Journal of Artificial Societies and Social Simulation (JASSS) 15 (1): 4.
  • Smojver, S (2012). Analysis of banking supervision via inspection Game and agent-based modeling. In the Proceedings of the 2012 Central European Conference on Information and Intelligent Systems, Varaždin, Croatia, Sep 19 - 21, 2012: 355-362 [PDF]
  • Thiele, J., Kurth, W. & Grimm, V. (2012) Agent-based modelling: Tools for linking NetLogo and R. Journal of Artificial Societies and Social Simulation (JASSS),15 (3): 8. [HTML]
  • Thiele, J.C., Kurth, W. & Grimm, V. (2012) RNetLogo: an R package for running and exploring individual-based models implemented in NetLogo. Methods in Ecology and Evolution 3: 480-483
  • Vinatier, F., Lescourret, F., Duyck, P.-F., & Tixier, P. (2012). From IBM to IPM: Using Individual-Based Models to design the spatial arrangement of traps and crops in Integrated Pest Management strategies. Agriculture, Ecosysems and Environment, 146 (1): 52-59. [HTML]
  • Vinatier, F., Gosme, M., & Valantin-Morison, M. (2012) A tool for testing integrated pest management strategies on a tritophic system involving pollen beetle, its parasitoid and oilseed rape at the landscape scale. Landscape Ecology, 27 (10): 1421-1433. [PDF]
  • Wagh, A. & Wilensky, U. (2012). Evolution in blocks: Building models of evolution using blocks. Proceedings of Constructionism, Athens, Greece, Aug 21-25. [HTML]
  • Wagh. A. & Wilenky, U. (2012). Breeding birds to learn about artificial selection: Two birds with one stone? Proceedings of ICLS, Sydney, Australia, July 2-6.
  • Wagh, A. & Wilensky, U. (2012). Mechanistic Explanations of evolutionary change facilitated by agent-based models. Paper presented at AERA, Vancouver, April 13-17.
  • Wang, Y.S., Ellwood, F., Maestre, F.T., Yang, Z.Y., Wang, G. & Chu C.J. (2012). Positive interactions can produce species-rich communities and increase the species temporal turnover. Journal of Plant Ecology. 5:417-421. [PDF]
  • Muldoon, R., Smith, T., & Weisberg, M. (2012). Segregation That No One Seeks. Philosophy of Science, 79, 38–62.
  • Whitehouse, H., Kahn, K., Hochberg, M.E., & Bryson, J.J. (2012) The role for simulations in theory construction for the social sciences: case studies concerning Divergent Modes of Religiosity. Religion, Brain & Behavior, 2(3).
  • Yalvac, B., Ayar, M. C., & Soylu, F. (2012). Teaching Engineering with Wikis. International Journal of Engineering Education, 28(3), 701. [PDF]
  • Zeng, M. Based on NetLogo Simulation for Credit Risk Management. Advances in Computer Science and Engineering 141, pp. 395-401. [PDF]

2011

  • Ahrweiler, P., Pyka, A., & Gilbert, N. (2011)."An implementation of the pathway analysis through habitat (PATH) algorithm using NetLogo" The Journal of Product Innovation Management, 28(2).
  • Alfaro, J. F. & Miller, S. A. (2011). "Planning the development of electricity grids in developing countries: An initial approach using Agent Based Models." Proceedings of 2011 IEEE International Symposium on Sustainable Systems and Technology (ISSST), May 16-18, 2011, Chicago, IL, 1-6. [PDF]
  • Arnould, G., Khadraoui, D., Armendariz, M., Burguillo, J. C., & Peleteiro, A. (2011) "A transport based clearing system for dynamic carpooling business services." Proceedings of 2011 11th International Conference on ITS Telecommunications (ITST), 23-25 Aug. 2011, pp. 527-533. [PDF]
  • Asman, B. C., Kim, M. H., Moschitto, R. A., Stauffer, J. C., & Huddleston, S. H. (2011). "Methodology for analyzing the compromise of a deployed tactical network." Proceedings of the 2011 Systems and Information Engineering Design Symposium (SIEDS), April 29, 2011, pp. 164-169. [PDF]
  • de Bakker, G., van Bruggen, J. Jochems, W., & Sloep, P. B. (2011). Introducing the SAPS System and a corresponding allocation mechanism for synchronous online reciprocal peer support activities. Journal of Artificial Societies and Social Simulation (JASSS).14 (1). [PDF]
  • Ballinas-Hernandez, A.L., Munoz Melendez, A., & Rangel-Huerta, A. (2011). Multiagent System Applied to the Modeling and Simulation of Pedestrian Traffic in Counterflow. Journal of Artificial Societies and Social Simulation (JASSS), 14 (3) 2. [HTML] (June 2011)
  • Baracaldo, N., Lopez, C., Anwar, M., Lewis, M. (2011) "Simulating the Effect of Privacy Concerns in Online Social Networks." Proceedings of the IEEE International Conference on Information Reuse and Integration, IRI 2011, 3-5 August 2011, Las Vegas, Nevada, USA 2011. [PDF]
  • Barbosa, J. & Leitao, P. (2011) "Simulation of Multi-agent Manufacturing Systems using Agent-based Modelling Platforms." Proceedings of the 2011 9th IEEE International Conference on Industrial Informatics (INDIN), 26-29 July 2011, pp. 477-482. [PDF]
  • Bida, M., Brom, C., & Popelova, M. (2011). "To date or not to date? A Minimalist affect-modulated control architecture for dating virtual characters." Lecture Notes in Computer Science, 6895(2011): 419-425. [PDF]
  • Braga, D. S., Alves, F. O. M., Lima Neto, F. B., & Menezes, L. C. S. (2011). AspectNetLogo: Uma Proposta de Linguaguem Orientada a Aspectos para a Modelagem de Sistemas Multi-Agentes em Simulacoes Sociais. In: X Congresso Brasileiro de Inteligencia Computacional, 2011. Fortaleza, CE. Sessao Tecnica 28 (Interfaces e Ferramentas).
  • Braun, A. & Rosner, H.-J. (2011). Disturbance and succession. Potential of agent-based systems for modeling vulnerable ecosystems. Application to land degradation processes. In Car, A. / Griesebner, G. / Strobl, J. (Eds.) Geospatial Crossroads @ GI_Forum '11. Proceedings of the Geoinformatics Forum Salzburg, pp. 12-21.
  • Damaceanu, R-C. (2011). Agent-based Computational Social Sciences using NetLogo. [LAP LAMBERT Academic Publishing.]
  • Damaceanu, R-C.. (2011). An Agent-based Computational Study of Wealth Distribution in Function of Technological Progress Using NetLogo. [American Journal of Economics, Vol 1.1, pg. 15-20.]
  • Dermody, J.; Tanner, C. & Jackson, A. (2011). The Evolutionary Pathway to Obligate Scavenging in Gyps Vultures PLoS ONE 6(9): e24635.
  • Dickerson, M. (2011). "Multi-agent simulation and NetLogo in the introductory computer science surriculum." Journal of Computing Sciences in Colleges, 27(1). [PDF]
  • Dixon, D. S. (2011). "Preliminary results from as agent-based adaptation of friendship games." 86th Annual Conference of Western Economics. [PDF]
  • Fekir, A. & Benamrane, N. (2011). "Segmentation of medical image sequence by parallel active contour." Advances in Experimental Medicine and Biology, 696(6): 515-522. [PDF]
  • Filho, H. S. B., de Lima Neto, F. B., & Fusco, W. (2011) "Migration and Social Networks - An Explanatory Multi-evolutionary Agent-Based Model." Proceedings of the 2011 IEEE Symposium on Intelligent Agent (IA), 11-15 April 2011, pp. 1-7. [PDF]
  • Frank, B.M.; Piccolo, J.J. & Baret, P.V. (2011). "A review of ecological models for brown trout: towards a new demogenetic model." Ecology of Freshwater Fish 20(2) 167-198.
  • Gabbreillini, S. (2011). Simulare meccanismi sociali con NetLogo: Una introduzione. Methodology and Techniques of Social Research. E-book [HTML].
  • Gui-sheng, Y., Ji-jie, W., Hong-bin, D., & Jia, L. (2011) "Intelligent Viral Marketing algorithm over online social network." Proceedings of 2011 Second International Converence on Networking and Distributed Computing (ICNDC), 21-24 Sept. 2011, pp. 319-323. [PDF]
  • Hussain, T., Al-Mutib, K. N., Alghamdi, A. S. (2011) "Towards software engineering process for C4I systems." Proceedings of the 2011 IEEE 3rd International Conference on Communication Software and Networks (ICCSN), 27-29 May 2011, pp. 125-129. [PDF]
  • Kim, J-W., & Hanneman, R.A. (2011). A Computational Model of Worker Protest. Journal of Artificial Societies and Social Simulation (JASSS), 14 (3) 1. [HTML] (June 2011)
  • Kumarappan, S. (2011). "Spatial pricing patterns of cellulosic biomass under oligopsony - A multi-agent simulation model." Paper presented at the 2011 AAEA & NAREA Joint Annual Meeting.
  • Kurve, A. & Kesidis, G. (2011) "Sybil Detection via Distributed Sparse Cut Monitoring." Proceedings of the 2011 IEEE international Conference on Communications (ICC), 5-9 June 2011. [PDF]
  • Lamy, F., Bossomaier, T., & Perez, P. (2011) "SimUse: Simulation of recreational poly-drug use." Proceedings of the 2011 IEEE Symposium on Artificial Life (ALIFE), 11-15 April 2011, pp. 170-177. [PDF]
  • Lamy, F., Perez, P., Ritter, A. & Livingston, M. (2011) "SimARC: An ontology-driven behavioural model of alcohol abuse." Proceedings of the Third International Conference on Advances in System Simulation, Oct. 23-29, pp. 128-133. [PDF]
  • Levy, S. T. & Wilensky, U. (2011). Mining students inquiry actions for understanding of complex systems. ScienceDirect Alert: Computers & Education, Vol. 56, Iss. 3, 2011. pp. 556-573. [PDF]
  • Li, Y., Wu, J., Ping, Y., Kou, W., & Han, Z. (2011)."NetLogo-based simulation and analysis of college confidential project management." Computer Technology and Development.
  • Maharaj, S., McCaldin, T., Kleczkowski, A. (2011). A Participatory Simulation Model for Studying Attitudes to Infection Risk. In Proceedings of the Summer Computer Simulation Conference 2011, ACM Digital Library, July 2011. [PDF]
  • Manzo G. (2011) “Relative Deprivation in Silico: Agent-based Models and Causality in Analytical Sociology.” in P. Demeulenaere (ed.), Analytical Sociology and Social Mechanisms, Cambridge, Cambridge University Press, ch. 13, 266-308 [PDF]
  • Marquez, B. Y., Espinoza-Hernandez, I., Castanon-Puga, M., Castro, J.R., & Suarez, E. D. (2011) "Distributed Agencies Applied to Complex Social Systems, a Multi-Dimensional approach." Proceedings of 2011 The 2nd International Conference on Next Generation Information Technology (ICNIT), 21-23 June 2011, pp. 213-219. [PDF]
  • McDonnell, S. and M. Zellner (2011). "Exploring the effectiveness of bus rapid transit a prototype agent-based model of commuting behavior." Transport Policy 18(6): 825-835.
  • Nan, Ning (2011). "Capturing bottom-up information technology use processes: A Complex adaptive systems model." Management Information Systems Quarterly, 35(2), 505-532.
  • Niazi, M.A.K. (2011). "Towards A Novel Unified Framework for Developing Formal, Network and Validated Agent-Based Simulation Models of Complex Adaptive Systems." University of Stirling. [PDF]
  • Niazi, M. A.; Hussain, A. (2011). "A Novel Agent-Based Simulation Framework for Sensing in Complex Adaptive Environments." Sensors Journal, IEEE, doi: 10.1109/JSEN.2010.2068044. [PDF]
  • Noor, Talal H.; Sheng, Quan Z.. (2011). "Trust as a Service: A Framework for Trust Management in Cloud Environments." Proceedings of the 2011 12th International Conference on Web Information System Engineering (WISE), 12-14 October 2011, pp. 314-321. [PDF]
  • Otcenaskova, T., Bures, V., & Cech, P. (2011). "Multi-agent simulations in decision support: Specifics of the biological incident management. " Mathematics and Computers in Biology, Business, and Acoustics. [PDF]
  • Collard, P., Mesmoudi, S. (2011). "How to Prevent Intolerant Agents from High Segregation?" Advances in Artificial Life, ECAL 2011: Proceedins of the Eleventh European Conference on the Synthesis and Simulation of Living Systems, T. Lenaerts, M. Giacobini, H. Bersini, P. Bourgine, M. Dorigo and R Doursat. MIT Press, (ISBN 978-0-262-29714-1). 2011. [PDF]
  • Patarakin, E., Yarmakhov B., Burov V. (2011). "Agent based simulation activities within the wiki system" Educational Technology & Society. pp.407 - 422. (In Russian) [PDF]
  • Pereda, M. & Zamarreno, J. M. (2011). "Agent-based modeling of an activated sludge process in a batch reactor." Proceedings of the 2011 19th Mediterranean Conference on Control & Automation (MED), 20-23 June 2011, pp. 1128-1133. [PDF]
  • Petreska, I., Kefalas, P., Gheorghe, M. (2011). "A framework towards the verification of emergent properties in spatial multi-agent systems" Proceedings of the Workshop on Applications of Software Agents, pp. 37-44.
  • Rebaudo, F., Crespo-Perez, V., Silvain, J-F., & Dangles, O. (2011). Agent-Based Modeling of Human-Induced Spread of Invasive Species in Agricultural Landscapes: Insights from the Potato Moth in Ecuador. Journal of Artificial Societies and Social Simulation (JASSS), 14 (3) 7. [HTML] (June 2011)
  • Rush, D. (2011). "A simulation of evolving sustainable technology through social pressure." Proceedings of the 2011 AAAI Fall Symposium, pp. 117-126. [PDF]
  • Salamon, T. (2011). "Design of Agent-Based Models: Developing Computer Simulations for a Better Understanding of Social Processes." Repin, Czech Republic: Bruckner Publishing. [Website]
  • Sengupta, P., & Wilensky, U. (2011). Lowering the Learning Threshold: Multi-Agent-Based Models and Learning Electricity. In Khine, M.S., & Saleh, I.M (Eds.). Dynamic Modeling: Cognitive Tool for Scientific Inquiry. Springer, New York, NY. [PDF]
  • Shelley, T., Lyons, L., Zellner, M. & Minor, E.(2011) "Evaluating the embodiment benefits of a paper-based tui for educational simulations." Proceedings of CHI Extended Abstracts 2011, pp. 1375-1380. [PDF]
  • Singh, V. K., Modanwal, N., & Basak, S. (2011) "MAS coordination strategies and their application in disaster management domain." Proceedings of 2011 2nd International Conference on Intelligent Agent and Multi-Agent Systems (IAMA), 7-9 Sept. 2011, pp. 14-19. [PDF]
  • Sklar, Elizabeth (2011). "NetLogo, a multi-agent simulation environment." Artificial Life, 13(3): 303-311.
  • Soriano, G. C. & Urano, Y. (2011) "Replication with state using the self-organizing map neural network." Proceedings of the 2011 13th International Conference on Advanced Communication Technology (ICACT), 13-16 Feb. 2011, pp. 383-388. [PDF]
  • Stonedahl, F. & Wilensky, U. (2011). Finding Forms of Flocking: Evolutionary Search in ABM Parameter-Spaces. In Multi-Agent-Based Simulation XI, T. Bosse, A. Geller, & C. M. Jonker (Eds). Lecture Notes in Computer Science. Springer Berlin / Heidelberg. Vol. 6532. pp. 61-75. [PDF]
  • Stonedahl, F., Wilkerson-Jerde, M. & Wilensky, U. (2011). MAgICS: Toward a Multi-Agent Introduction to Computer Science. In M.Beer, M.Fasli, and D. Richards (Eds.) Multi-Agent Systems for Education and Interactive Entertainment: Design, Use and Experience. IGI Global. pp.1-25.
  • Vattam, S. S., Goel, A. K., Rugaber, S. (2011). "Behavior Patterns: Bridging conceptual models and agent-based simulations in interactive learning environments" Proceedings of the 2011 IEEE 11th International Conference on Advanced Learning Technologies, pp.139-141
  • Vinatier, F., Lescurret, F., Duyck, P.-F., Martin, O., Senoussi, R., & Tixier, P. (2011). Should I Stay or Should I Go? A Habitat-Dependent Dispersal Kernel Improves Prediction of Movement. PLoS ONE, 6, e21115.
  • Wildman, W., & Sosis, R. (2011). Stability of Groups with Costly Benefits and Practices. Journal of Artificial Societies and Social Simulation (JASSS), 14 (3) 6. [HTML] (June 2011)
  • Xia, H., Jia, Z., Ju, L., Li, X., & Zhu, Y. (2011)"A subjective trust management model with multiple decision factors for MANET based on AHP and fuzzy logic rules." Proceedings of 2011 IEEE/ACM International Converence on Green Computing and Communications (GreenCom), 4-5 Aug. 2011, pp. 124-130. [PDF]
  • Zhao, M. (2011)."A simulation system of social economic" Computer and Information Science, 4(5). [PDF]

2010

  • Berryman, M.J. & Angus, S.D. (2010). Software Tools for Analysis and Modelling of Complex Systems. In R. L. Dewar & F. Detering (Eds.) Complex Physical, Biophysical and Econophysical Systems: Proceedings of the 22nd Canberra International Physics Summer School. Sydney: World Scientific Publishing. [PDF]
  • Blikstein, P., & Wilensky, U. (2010).MaterialSim: A constructionist agent-based modeling approach to engineering education. In M. J. Jacobson & P. Reimann, (Eds.), Designs for learning environments of the future: International perspectives from the learning sciences. New York: Springer.
  • Chu, C.J., Weiner, J., Maestre, F.T., Wang, Y.S., Morris, C., Xiao, S., Yuan, J.L., Du, G.Z. & Wang, G. 2010. Effects of positive interactions, competitive modes and abiotic stress on self thinning in simulated plant populations. Annals of Botany 106: 647-652
  • Cong, R., & Wei, Y. (2010). Potential impact of (CET) carbon emissions trading on China’s power sector: A perspective from different allowance allocation options. Energy, 35, p 3921-3931. [PDF]
  • Davilia, A. A., & An, G. (2010).An Agent Based Model of Liver Damage, Inflammation, and Repair: in Silico Translation of Cellular and Molecular Mechanisms to the Clinical Phenomena of Cirrhosis Using NetLogo. Oral Presentation for the 5th Annual Academic Surgical Congress, San Antonio, TX, February 5, 2010.
  • Davilia, A. A., & An, G. (2010). An Agent Based Model of Liver Damage, Inflammation, and Repair: in Silico Translation of Cellular and Molecular Mechanisms to the Clinical Phenomena of Cirrhosis Using NetLogo. Journal of Surgical Research (ASC Abstracts Issue), 158(2):411.
  • Georgeon, O., & Sakellariou, I. Designing Environment-Agnostic Agents. In Adaptive Learning Agents workshop (ALA2012), of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), pp. 25-32. Valencia, Spain 2012.2[HTML]
  • Graham, S., & Steiner, J. (2008). “Travellersim: Growing Settlement Structures and Territories with Agent-Based Modelling” in Jeffrey T. Clark and Emily M. Hagemeister (eds) Digital Discovery: Exploring New Frontiers in Human Heritage. CAA 2006. Computer Applications and Quantitative Methods in Archaeology. Proceedings of the 34th Conference, Fargo, United States, April 2006. Budapest: Archaeolingua.
  • Hadzikadic, M., Carmichael, T., & Curtin, C. (2010). Complex Adaptive Systems and Game Theory: An Unlikely Union. Complexity. Vol 16, Issue 1, p34.
  • Hamill, L. (2010). Agent-Based Modelling: The Next 15 Years. Journal of Artificial Societies and Social Simulation (JASSS), 13 (4): 7. [HTML]
  • Izquierdo, S.S., Izquierdo, L.R. & Vega-Redondo, F. (2010). The Option to Leave: Conditional Dissociation in the Evolution of Cooperation Journal of Theoretical Biology Volume 267, Issue 1, pp. 76–84. [PDF]
  • Kahn, K. & Noble, H. (2010). The Modelling4All Project -- A web-based modelling tool embedded in Web 2.0. Paper presented at the Proceedings of Constructionism 2010, Paris, France
  • Kim, J-W. (2010).A Tag-Based Evolutionary Prisoner's Dilemma Game on Networks with Different Topologies. Journal of Artificial Societies and Social Simulation (JASSS), 13 (3): 2. [HTML] (June 2010)
  • Kleczkowski, A., Maharaj, S. (2010). Stay at home, Wash Your Hands: Epidemic Dynamics with Awareness of Infection. In proceedings of the SCS Summer Computer Simulation Conference, Ottawa, July 2010.
  • Kurahashi, C., & An, G. (2010). Examining the Spatial Dynamics of the Inflammatory Response with Topographical Metrics in an Agent-Based Computational Model of Inflammation and Healing. Journal of Surgical Research (ASC Abstracts Issue), 158(2):382.
  • Kurahashi, C., & An, G. (2010). Examining the Spatial Dynamics of the Inflammatory Response with Topographical Metrics in an Agent-Based Computational Model of Inflammation and Healing. Oral Presentation for the 5th Annual Academic Surgical Congress, San Antonio, TX, February 5, 2010.
  • Lerner, R., Levy, S.T., & Wilensky, U. (2010). Encouraging Collaborative Constructionism: Principles Behind the Modeling Commons. n J. Clayson & I. Kalas (Eds.), Proceedings of the Constructionism 2010 Conference. Paris, France, Aug 10-14.
  • Levy, S. T., Wilensky, U. (2010). Mining students' actions for understanding of complex systems: Students' explorations of gas models in the Connected Chemistry curriculum. Paper presented at AERA 2010, Denver, CO. [PDF]
  • Massimo Mastrangeli, Martin Schmidt and Lucas Lacasa (2010). "The Roundtable: An Abstract Model of Conversation Dynamics"Journal of Artificial Societies and Social Simulation 13 (4) 2[HTML]
  • Monett, D., Janisch, R., Starroske, S. (2010). NL-Analyzer: Enhancing Simulation Tools to Assist Multiagent Systems' Teaching.. In K. Gomez & J. Radinsky (Ed.), In W. van der Hoek, G.A. Kaminka, Y. Lespérance, M. Luck, S. Sen (eds.), Proceedings of the Workshop Multi-Agent Systems for Education and Interactive Entertainment (MASEIE), 9th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2010, pp. 1-6, Toronto, Canada.
  • Muis, J. (2010). Simulating Political Stability and Change in the Netherlands (1998-2002): an Agent-Based Model of Party Competition with Media Effects Empirically Tested in Journal of Artificial Societies and Social Simulation (JASSS) 13 (2): 4 [HTML] (March 2010)
  • Niazi, M., Siddique, Q., Hussain, A., & Kolberg, M. (2010). Verification & Validation of an Agent-Based Forest Fire Simulation Model. Agent-Directed Simulation Symposium, SCS Spring Simulation Conference, April 2010, Orlando, FL.
  • Olson, I., Horn, M., & Wilensky, U. (2010). NetLogo Tango: Supporting Student Programming with Tangible Objects and Multi-Touch Displays. In K. Gomez & J. Radinsky (Ed.), Proceedings of the 9th International Conference of the Learning Sciences. Chicago, IL.
  • Olsen, J & Jepsen, MR (2010) HPV transmission and cost-effectiveness of introducing quadrivalent HPV vaccination in Denmark. International Journal of Technology Assessment in Health Care , 26(2).
  • Pluchino, A., Rapisarda, A. & Garofalo, C. (2010). Peter Principle Revisited: a Computational Study. Physica A: Statistical Mechanics and its Applications, 389(3), 467-472. [PDF]
  • Rezayan, H., Delavar, M.R., Frank, A.U. & Mansouri, A. (2010). Spatial rules that generate urban patterns: Emergence of the power law in the distribution of axial line length. International Journal of Applied Earth Observation and Geoinformation. Volume 12, Issue 5, October 2010, pp. 317-330.
  • Sakellariou, I. Agent based Modelling and Simulation using State Machines. SIMULTECH 2012. Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications, pp 270-279, Rome, Italy, 28 - 31 July, 2012 [HTML]
  • Sakellariou, I. Turtles as State Machines - Agent Programming in NetLogo using State Machines. In Proceedings of the 4th International Conference on Agents and Artificial Intelligence (ICAART 2012), Volume 2 - Agents, Joaquim Filipe, Ana L. N. Fred (Eds.), SciTePress 2012, ISBN 978-989-8425-96-6, pp. 375-378, Vilamoura, Algarve, Portugal, 6-8 February, 20122 [HTML]
  • Stamatopoulou, I., Sakellariou, I., & Kefalas, P. Formal Agent-Based Modelling and Simulation of Crowd Behaviour in Emergency Evacuation Plans. Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on , vol.1, no., pp.1133-1138, 7-9 Nov. 2012 [HTML]
  • Russell, E., Buzby, C., & Wilensky, U. (2010). Watershed Modeling For Education. Paper presented at the First International Conference for Geospatial Research & Application, Washington, DC.
  • Seal, J.B., Alverdy, J.C., & An, G. (2010). Mechanistic Computational Representation of Iron Metabolism in the Gut Milieu. Oral Presentation for the 5th Annual Academic Surgical Congress, San Antonio, TX, February 3, 2010.
  • Seal, J.B., Alverdy, J.C., Zaborina, O., Zaborin, A., Babrowski, T., Romanowski, K., & An, G. (2010). Computational mechanistic representation of phosphate sensing and virulence activation in Pseudomonas aeruginosa in the gut milieu. Poster Presentation for the 39th Annual Critical Care Congress of the Society of Critical Care Medicine, Miami, FL, January 11, 2010.
  • Sengupta, P., & Wilensky, U. (2010). Balancing Electrons & Learning Electricity in 5th Grade: Emergence, Electric Current and Multi- Agent Based Models . Cognition and Instruction.
  • Sheth, K.R., & An, G. (2010). In Silico Translation of Cellular and Molecular Mechanisms to Clinical Phenomena in Atheroma Development with an Agent Based Model. Journal of Surgical Research (ASC Abstracts Issue), 158(2):382-3.
  • Sheth, K.R., & An, G. (2010). In Silico Translation of Cellular and Molecular Mechanisms to Clinical Phenomena in Atheroma Development with an Agent Based Model. Oral Presentation for the 5th Annual Academic Surgical Congress, San Antonio, TX, February 5, 2010.
  • Stonedahl, F. & Rand, W., & Wilensky, U. (2010). Evolving Viral Marketing Strategies. Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation. Portland, OR.
  • Stonedahl, F. & Wilensky, U. (2010). Finding Forms of Flocking: Evolutionary Search in ABM Parameter-Spaces. Proceedings of the MABS workshop at the Ninth International Conference on Autonomous Agents and Multi-Agent Systems. Toronto, Canada.
  • Suhadolnik, N., Galimberti, J., & Da Silva, S. (2010). Robot traders can prevent extreme events in complex stock markets. Physica A: Statistical Mechanics and its Applications. Physica A: Statistical Mechanics and its Applications, 389(22): 5182-5192.
  • Thiele, J.C., & Grimm, V. (2010). NetLogo meets R: Linking agent-based models with a toolbox for their analysis. Environmental Modeling and Software. 25(8), 972-974.
  • Valbuena, D., Verburg, P.H., Veldkamp, A., Bregt, A.K. & Ligtenberg, A. (2010). Effects of farmers' decisions on the landscape structure of a Dutch rural region: An agent-based approach. Landscape and Urban Planning. 97(2), 98-110.
  • Wagh, A. & Wilensky, U. (2010). Agent-based and aggregate level reasoning elicited by problem scenarios and an agent-based model. Poster presented at the annual meeting of the American Education Research Association, Denver, CO, April 30-May 4.
  • Wandling, M., & An, G. (2010). Multi-Scale Dynamic Knowledge Representation of Pulmonary Inflammation with an Agent-Based Model: from Gene Regulation to Clinical Phenomenon. Journal of Surgical Research (ASC Abstracts Issue), 158(2):381.
  • Wandling, M., & An, G. (2010). Multi-Scale Dynamic Knowledge Representation of Pulmonary Inflammation with an Agent-Based Model: from Gene Regulation to Clinical Phenomenon. Oral Presentation for the 5th Annual Academic Surgical Congress, San Antonio, TX, February 5, 2010.
  • Wilensky, U., & , M. (2010). Understanding evolution as an emergent process: learning with agent-based models of evolutionary dynamics. In R.S. Taylor & M. Ferrari (Eds.), Epistemology and Science Education: Understanding the Evolution vs. Intelligent Design Controversy. New York: Routledge.
  • Wilensky, U., & Papert, S. (2010). Restructurations: Reformulations of Knowledge Disciplines through new representational forms. In J. Clayson & I. Kallas (Eds.), Proceedings of the Constructionism 2010 Conference. Paris, France.
  • Wilkerson-Jerde, M. & Wilensky, U. (2010). NetLogo HotLink Replay: A Tool for Exploring, Analyzing and Interpreting Mathematical Change in Complex Systems. Poster to be presented at ICLS 2010, Chicago, IL, Jun 29 - Jul 2.
  • Wilkerson-Jerde, M. & Wilensky, U. (2010). Qualitative Calculus of Systems: Exploring Students' Understanding of Rate of Change and Accumulation in Multiagent Systems. Paper accepted for presentation at AERA 2010, Denver, CO.
  • Wilkerson-Jerde, M., & Wilensky, U. (2010). Restructuring Change, Interpreting Changes:The DeltaTick Modeling and Analysis Toolkit. Paper to be presented at Constructionism 2010, Paris.
  • Wilkerson-Jerde, M. & Wilensky, U. (2010). Seeing Change in the World from Different Levels: Understanding the Mathematics of Complex Systems. In M. Jacobson (Org.), U. Wilensky (Chair), and Peter Reimann (Discussant), Learning about Complexity and Beyond: Theoretical and Methodological Implications for the Learning Sciences. To be presented at ICLS 2010, Chicago, IL, Jun 29 - Jul 2.

2009

  • Abrahamson, D. (2009). Embodied design: Constructing means for constructing meaning. Educational Studies in Mathematics, 70(1), 27-47. [PDF] [Electronic Supplementary Materials]
  • An, G., & Wilensky, U. (2009). From artificial life to in silico medicine: NetLogo as a means of translational knowledge representation in biomedical research. In A. Adamatzky & M. Komosinski (Eds.), Artificial Life Models in Software (2nd Ed.). Berlin: Springer-Verlag. [PDF]
  • Blikstein, P., & Wilensky, U. (2009). An atom is known by the company it keeps: A constructionist learning environment for materials science using multi-agent simulation. International Journal of Computers for Mathematical Learning, 14(1), 81-119. [PDF]
  • BenDor, T., Westervelt, J., Aurambout, J. & Meyer, W. (2009). Simulating population variation and movement within fragmented landscapes: An application to the gopher tortoise (Gopherus polyphemus). Ecological Modelling 220(6), 867-878.
  • Blikstein, P., Wilensky, U., & Abrahamson, D. (2009, April). Towards a framework for cognitive research using agent-based modeling and complexity sciences. In M. Jacobson (Chair), M. Kapur (Organizer) & N. Sabelli (Discussant), Complexity, learning, and research: Under the microscope, new kinds of microscopes, and seeing differently. Symposium conducted at the annual meeting of the American Educational Research Association, San Diego, CA.
  • Carmichael, T., Hadzikadic, M.,Dréau, D., & Whitmeyer, J. (2009). Characterizing Threshold Effects Across Diverse Phenomena. In Z. Ras & W. Ribarsky (Eds), Advances in Information and Intelligent Systems. New York: Springer.
  • Castillo, L. F., Bedia, M. G., Uribe, A. L., & Isaza, G. (2009). A formal approach to test commercial strategies: Comparative study using Multi-agent based techniques. Journal of Physical Agents, 3(3), 25-30.(1), 27-47. [PDF]
  • Chu, C.J., Weiner, J., Maestre, F.T., Xiao, S., Wang, Y.S., Li, Q., Yuan, J.L., Zhao, L.Q., Ren, Z.W. & Wang, W. 2009. Positive interactions can increase size inequality in plant populations. Journal of Ecology 94: 1401-1407.
  • Drachsler, H., Hummel, H., van den Berg, B., Eshuis, J., Waterink, W., Nadolski, R., Berlanga, A., Boers, N. & Koper, R. (2009). Evaluating the Effectiveness of Personalised Recommender Systems in Learning Networks. In R. Koper (ed.), Learning Network Services for Professional Development (pp.95-113), Berlin:Springer-Verlag. [PDF]
  • Dréau, D., Stanimirov, D., Carmichael T., & Hadzikadic M. (2009). An agent-based model of solid tumor progression. Paper presented at the 1st International Conference on Bioinformatics and Computational Biology, New Orleans, LA., April 2009.
  • Filatova, T., Parker, D. & van der Veen, A. (2009). Agent-Based Urban Land Markets: Agent's Pricing Behavior, Land Prices and Urban Land Use Change. Journal of Artificial Societies and Social Simulation (JASSS), 12 (1): 3. [HTML]
  • Friedman, D. & Abraham, R. (2009). Bubbles and crashes: Gradient dynamics in financial markets. Journal of Economic Dynamics and Control 33(4), 922-937.
  • Graham, S. (2009). Behaviour Space: Simulating Roman Social Life and Civil Violence. Digital Studies / Le Champ NuméRique, 1(2). [HTML]
  • Handel, A., Yates, A., Pilyugin, S.S., & Antia, R. (2009). Sharing the burden: Antigen transport and firebreaks in immune responses. Journal of the Royal Society Interface 6, 447-454.
  • Hunt, C.A. , Ropella, G. E. P.,  Lam, T. N., Tang, J., Kim, S. H. J., Engelberg, J. A., & Sheikh-Bahaei, S. (2009). At the biological modeling and simulation frontier. Pharmaceutical Research 26(11), 2369-2400. [PDF]
  • Izquierdo, L. R., Izquierdo, S. S., Galán, J. M. & Santos, J. I. (2009). Techniques to Understand Computer Simulations: Markov Chain Analysis. Journal of Artificial Societies and Social Simulation (JASSS), 12 (1): 6 [HTML]
  • Janssen, M.A. (2009). Understanding Artificial Anasazi. Journal of Artificial Societies and Social Simulation (JASSS), 12 (4): 13.
  • Jepsen, MR , Simonsen, J & Ethelberg, S (2009) Spatio-temporal cluster analysis of the incidence of Campylobacter cases and patients with general diarrhea in a Danish county.International Journal of Health Geographics , 8(11), pp. 1-12.
  • Johnson, B.R. (2009). A self-organizing model for task allocation via frequent task quitting and random walks in the honeybee. American Naturalist 174, 537-547.
  • Kimbrough, S. O., & Murphy, F. H. (2009). Learning to collude tacitly on production levels by oligopolistic agents. Computational Economics 33(1), 47-78. [PDF]
  • Kornhauser, D., Wilensky, U., & Rand, W. (2009). Design guidelines for agent based model visualization. Journal of Artificial Societies and Social Simulation, JASS, 12(2), 1. [PDF]
  • Lansing, J.S., Cox, M.P., Downey, S.S., Janssen, M.A., & Schoenfelder, J.W. (2009). A robust budding model of Balinese water temple networks. World Archaeology 41(1), 112-133.
  • Lerner, R., Levy S. T., & Wilensky, U. (2009). Design of the Modeling Commons. Chais Conference, Tel Aviv, Israel.
  • Levy, S. T., & Wilensky, U. (2009). Students' learning with the Connected Chemistry (CC1) curriculum: Navigating the complexities of the particulate world. Journal of Science Education and Technology, 18(3), 243-254. [PDF]
  • Levy, S. T., & Wilensky, U. (2009). Crossing levels and representations: The Connected Chemistry (CC1) curriculum. Journal of Science Education and Technology, 18(3), 224-242. [PDF]
  • Linard, C., Ponçon, N., Fontenille, D., & Lambin, E.F., (2009). A multi-agent simulation to assess the risk of malaria re-emergence in southern France. Ecological Modelling, 220(2): 160-174.
  • Maharaj, S., McCaig, C., & Shankland C. E. (2009). Studying the effects of adding spatiality to a process algebra model. 8th Workshop on Process Algebra and Stochastically Timed Activities :153-158, 2009. Edinburgh.
  • Manzo, G. (2009) “Boudon’s Model of Relative Deprivation Revisited.” In Cherkaoui, M. & Hamilton, P. (eds.) Raymond Boudon: A Life in Sociology, Oxford, Bardwell Press, vol. 3, part 3, ch. 46, 91-121. [PDF]
  • Nadolski, R. J., van den Berg, B., Berlanga, A. J., Drachsler, H., Hummel H. G. K., Koper, R. & Sloep, P. B. (2009). Simulating Light-Weight Personalised Recommender Systems in Learning Networks: a Case for Pedagogy-Oriented and Rating-Based Hybrid Recommendation Strategies. Journal of Artificial Societies and Social Simulation (JASSS), 12(1). [HTML]
  • Niazi, M., and Hussain, A. (2009). Agent-Based Tools for Modeling and Simulation of Self-Organization in Peer-to-Peer, Ad Hoc, and Other Complex Networks. IEEE Communications Magazine, Vol.47 No.3. [HTML]
  • Niazi, M., Hussain, A., & Kolberg, M. (2009). Verification and Validation of Agent-Based Simulations using the VOMAS approach. Proceedings of the Third Workshop on Multi-Agent Systems and Simulation '09, as part of MALLOW 09, Sep 7-11, 2009, Torino, Italy.
  • New York Times Magazine. (2009). "Random Promotions" from the 9th Annual Year in Ideas. Retrieved March 23, 2010 from http://www.nytimes.com/projects/magazine/ideas/2009/#social_science-12. [PDF]
  • Novak, M., Levy, S. T., & Wilensky, U. (2009). Playing in a particle sandbox and gaining a glass box perspective: The Connected Chemistry curriculum. Working paper.
  • O'Sullivan, D. (2009). "Changing neighborhoods—Neighborhoods Changing; A Framework for spatially explicit agent-based models of social systems." Sociological Methods Research, 37(4), 498-530. [HTML
  • Patarakin E., Yarmakhov B. (2009). "Modeling organizational relations with the NetLogo "links" Educational Technology & Society" Educational Technology & Society, No. 2. pp. 409-422. (In Russian) [PDF]
  • Rolón, M., Canavesio, M. & Martínez, E. (2009). Agent Based Modelling and Simulation of Intelligent Distributed Scheduling Systems. In Jezowski Jacek & Thullie Jan (Eds.), Proceedings of the 19th European Symposium on Computer Aided Process Engineering (Vol. 26, pp. 985-990). Amsterdam, Holland: Elsevier.
  • Rolón, M., Canavesio, M. & Martinez, E. (2009). Generative Modeling of Holonic Manufacturing Execution Systems for Batch Plants. In R.M. de Brito Alves, C.A.O. do Nascimento , & E.C. Biscaia Jr. (Eds.),10th International Symposium on Process Systems Engineering: Part A (Vol. 27, 795-800). Amsterdam, Holland: Elsevier.
  • Sakellariou, I., Kefalas, P., Stamatopoulou, I. (2009).MAS Coursework Design in NetLogo. In Proceedings of the Educational Uses of Multi Agent Systems, Budapest, Hungary. [PDF]
  • Sengupta, P., & Wilensky, U. (2009). Learning electricity with NIELS: Thinking with electrons and thinking in levels. International Journal of Computers for Mathematical Learning, 14(1), 21-50. [PDF]
  • Steiniger, S. & Hay, G.J. (2009). Free and open source geographic information tools for landscape ecology. Ecological Informatics 4(4), 183-195.
  • Stonedahl, F., Wilkerson-Jerde, M., & Wilensky, U. (2009). Re-conceiving introductory computer science curricula through agent-based modeling. Paper presented at the Eighth International Conference on Autonomous Agents and Multi-agent Systems (AAMAS) - EduMAS Workshop, Budapest, Hungary. [PDF]
  • Sudhira, H.S. and Ramachandra, T.V. (2009). A Spatial Planning Support System for Managing Bangalore’s Urban Sprawl. In Stan Geertman and John Stillwell (Eds.), Planning Support Systems: Best Practice and New Methods. Springer.
  • Wilkerson-Jerde, M., & Wilensky, U. (2009, April). Complementarity in agent-based and equation-based models. Paper presented at the annual meeting of the American Educational Research Association, San Diego, CA.
  • Shultz, L. (2009). Understanding the Greenhouse Effect Using a Computer Model. Unpublished Master's thesis, University of Maine. [PDF]
  • Siddiqa, A., Niazi, M., Mustafa, F., Bukhari, H., Hussain A., Akram, N., Shaheen, S., Ahmed F., & Iqbal, S. (2009). A New Hybrid Agent-Based Modeling & Simulation Decision Support System For Breast Cancer Data Analysis, IEEE ICICT 09, IBA, Karachi.
  • Vattam, S., Goel, A. K., Rugaber, S., Hmelo-Silver, C. & Jordan, R. (2009). From Conceptual Models to Agent-based Simulations: Why and How. Paper presented at the 14th International Conference on Artificial Intelligence in Education (AIED), 2009. [PDF]
  • Weisberg, M., & Muldoon, R. (2009). Epistemic Landscapes and the Division of Cognitive Labor. Philosophy of Science, 76, 225-252
  • Wilkerson, M. (2009). Agents with attitude: Exploring Coombs Unfolding technique with agent-based models. International Journal of Computers for Mathematical Learning, 14 (1), 51-60. [PDF]
  • Zhai, Z., Schoenharl, T., Chen, F., & Madey, G. (2009). Design and Implementation of an Agent-Based Simulation for Emergency Response and Crisis Management. Department of Computer Science and Engineering, University of Norte Dame, IN. [HTML]

2008

  • Aktipis, A. (2008). A SIMPLE model for the evolution of movement and cooperation: Social dilemmas emerge from interactions with a shared environment. Paper presented at Swarmfest, 2008.
  • Arunachalam, S., Zalila-Wenkstern, R., & Steiner, R. (2008). Environment Mediated Multi Agent Simulation Tools - A Comparison. In Proceedings of the 2008 Second IEEE international Conference on Self-Adaptive and Self-Organizing Systems Workshops (57-62). Washington, DC: IEEE Computer Society. [PDF]
  • Blikstein, P., & Wilensky, U. (2008). Implementing multi-agent modeling in the classroom: Lessons from empirical studies in undergraduate engineering education. In G. Kanselaar, J. van Merriënboer, P. Kirschner & T. de Jong (Eds.), Proceedings of the International Conference for the Learning Sciences, ICLS2008 (Vol. 3, pp. 266-273). Utrecht, The Netherlands: ISLS. [PDF]
  • Blikstein, P., Abrahamson, D., & Wilensky, U. (2008). The classroom as a complex adaptive system: An agent-based framework to investigate students' emergent collective behaviors. In G. Kanselaar, J. van Merriënboer, P. Kirschner & T. de Jong (Eds.), Proceedings of the International Conference for the Learning Sciences, ICLS2008 (Vol. 3, pp. 312-313). Utrecht, The Netherlands: ISLS. [PDF]
  • Chu, C.J. Maestre, F.T., Xiao, S., Weiner, J., Wang, Y.S., Duan, Z.H. & Wang, G. 2008. Balance between facilitation and resource competition determines biomass-density relationships in plant populations. Ecology Letters 11: 1189-1197
  • Crooks, A., Castle, C. & Batty, M. (2008). Key challenges in agent-based modelling for geo-spatial simulation. Computers, Environment and Urban Systems 32(6), 417-430.
  • Diappi, L. & Bolchi, P. (2008). Smith's rent gap theory and local real estate dynamics: A multi-agent model. Computers, Environment and Urban Systems 32(1), 6-18.
  • Earnest, D. C. (2008). Voting Complexity and Electoral Outcomes: An Agent-Based Model of Condorcet Social Choice Problems. Complexity and Policy Analysis: Decision Making in an Interconnected World. Kurt A. Richardson, Linda Dennard and Goktug Morcol, eds. Greenwich, CT: Information Age Publishing: 2008. 147-166.
  • Earnest, D.C. (2008). Coordination in Large Numbers: An Agent-Based Model of International Negotiations. International Studies Quarterly 52, 2: 363-382. [HTML]
  • Feldman, T., Friedmam, D., & Abraham R. (2008). Bubbles & Crashes: An Experimental Approach. Retrieved February 25, 2010 from http://www.vismath.org/research/landscapedyn/articles/vela2.pdf. [PDF]
  • Francisco, M. (2008). Designing classrooms with ABM. Paper presented at Swarmfest, 2008.
  • Gilbert G.(2008) Agent-based models. Sage Publications, Inc.
  • Janota, A. (2008). MAS Model of the Level Crossing. International Journal of ITS Research, Japan, Vol. 6, No. 2 (p. 111-116). ISSN 1348-8503
  • Janssen, M.A. and Bushman, C. (2008). Evolution of cooperation and altruistic punishment when retaliation is possible. Journal of Theoretical Biology 254: 451-455.
  • Jolly, R., & Wakeland, W. W. (2008). Using Agent Based Simulation and Game Theory Analysis to Study Information Sharing in Organizations - The InfoScape. HICSS 2008: 335.
  • Jones, G.T. (2008). Dynamical Jurisprudence: Law as a Complex System. Georgia State University Law Review, 24(4), 873-883. [PDF]
  • Jovani, R., and V. Grimm. 2008. Breeding synchrony in colonial birds: from local stress to global harmony. Proceedings of the Royal Society of London B 275:1557-1563.
  • Kanarek, A., Lamberson, R., & Black, J. M. (2008). An individual-based model for traditional foraging behavior: investigating effects of environmental fluctuation. Natural Resource Modeling, Vol 21 (1), pp 93-116. [HTML]
  • Le, Q.B., Park, S.J., Vlek, P.L. & Cremers, A.B. (2008). Land-Use Dynamic Simulator (LUDAS): A multi-agent system model for simulating spatio-temporal dynamics of coupled human-landscape system. I. Structure and theoretical specification. Ecological Informatics 3(2), 135-153.
  • Okuyama, T. (2008). Intraguild predation with spatially structured interactions. Basic and Applied Ecology 9(2), 135-144.
  • Menezes, R., & Bullen, H. (2008). A study of terrain coverage models. Proceedings of the 2008 ACM symposium on Applied computing. [HTML]
  • Menke, N. (2008). Modeling the Effects of Trauma on Epidermal Wound Healing. Paper presented at Swarmfest, 2008.
  • Niazi, M. (2008). Self-organized customized content delivery architecture for ambient assisted environments. In Proceedings of the Third international Workshop on Use of P2p, Grid and Agents For the Development of Content Networks (Boston, MA, USA, June 23-23, 2008). HPDC, UPGRADE '08. ACM, New York, NY, 45-54.
  • Niazi, M., & Baig, A.R. (2008). Growth of Research Institutes in Developing Nations. International Research Conference 2008, West Visayas State University, La Paz Iloilo City, Philippines, Feb 27- 29, 2008.
  • Niazi, M., Hussain, A., Baig, A.R., & Bhatti, S. (2008). Simulation of the research process. in Winter Simulation Conference, Miami, FL, pp.1326-1334.
  • Pathak, S.A., Jacobson, M.J., Kim, B., Zhang, B., & Feng, D. (2008). Learning the Physics of Electricity with Agent-Based Models: The paradox of productive failure. Paper presented at the 2008 International Conference on Computers in Education. [PDF]
  • Rand, W., Blikstein, P., & Wilensky, U. (2008). GoGoBot: Group collaboration, multi-agent modeling and robots. In L. Padgham, D. Parkes, J. Müller & S. Parsons (Eds.), Proceedings of the 7th International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS (Vol. 3, pp. 1717-1722). Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). [PDF]
  • Russell, E., & Wilensky, U. (2008, May). Consuming spatial data in NetLogo using the GIS Extension. Paper presented at the annual meeting of the Swarm Development Group, Chicago, IL.
  • Sakellariou, I., Kefalas, P., Stamatopoulou, I. (2008). Enhancing NetLogo to Simulate BDI Communicating Agents. In J. Darzentas et al. (Eds.), Proceedings of 5th Hellenic Conference on Artificial Intelligence, SETN 08, (pp. 263-275). Syros, Greece: Springer-Verlag. [PDF]
  • Sakellariou, I., Kefalas, P., Stamatopoulou, I. (2008). Teaching Intelligent Agents using NetLogo. Paper presented at the ACM-IFIP Informatics Education Europe III Conference, IEEIII 2008, Venice, Italy, December 4-5, 2008. [PDF]
  • Schumann, D., & Simon, A. (2008). Public acceptance of CO2 capture and storage (CCS): Simulating the impact of communication. Paper presented at ZUMA (Zentrum für Umfragen, Methoden und Analysen, Centre for surveys, methods and analyses) Advanced Simulation Workshop, April 8-11, Koblenz. [PDF]
  • Sengupta, P., & Wilensky, U. (2008, March). Designing across ages: On the low-threshold-high-ceiling nature of NetLogo-based learning environments. Paper presented at the annual meeting of the American Educational Research Association, New York, NY.
  • Sengupta, P., & Wilensky, U. (2008, March). On the representational and epistemological affordances of NetLogo-based science curricula. Paper presented at the annual meeting of the American Educational Research Association, New York, NY.
  • Sengupta, P., & Wilensky, U. (2008). On learning electricity in 7th grade with multi-agent based computational models (NIELS). In G. Kanselaar, J. van Merriëboer, P. Kirschner & T. de Jong (Eds.), Proceedings of the International Conference for the Learning Sciences, ICLS2008 (Vol. 3, pp. 123-125). Utrecht, The Netherlands: ISLS. [PDF]
  • Sengupta, P., & Wilensky, U. (2008). Learning activities as tools for formative assessment - Case study of a computational multi-agent based electricity curriculum (NIELS: NetLogo Investigations In Electromagnetism). In G. Kanselaar, J. van Merriëboer, P. Kirschner & T. de Jong (Eds.), Proceedings of the International Conference for the Learning Sciences, ICLS2008 (Vol. 3, pp. 383-391). Utrecht, The Netherlands: ISLS.
  • Sengupta, P., & Wilensky, U. (2008). On the learnability of electricity as a complex system. In G. Kanselaar, J. van Merriëboer, P. Kirschner & T. de Jong (Eds.), Proceedings of the International Conference for the Learning Sciences, ICLS2008 (Vol. 3, pp. 258-264). Utrecht, The Netherlands: ISLS.
  • Stonedahl, F., Kornhauser, D., Russell, E., Brozefsky, C., Verreau, E., Tisue, S., & Wilensky, U. (2008, May). Tinkering with turtles: An overview of NetLogo's Extensions API. Paper presented at the annual meeting of the Swarm Development Group, Chicago, IL. [PDF]
  • Stonedahl, F., Rand, W., & Wilensky, U. (2008, July). CrossNet: A framework for crossover with network-based chromosomal representations. Paper presented at the 2008 Genetic and Evolutionary Computation Conference (GECCO), Atlanta, GA. [PDF]
  • Stonedahl, F., Rand, W., & Wilensky, U. (2008, May). Multi-agent learning with a distributed genetic algorithm: Exploring innovation diffusion on networks. Paper presented at the Seventh International Conference on Autonomous Agents and Multi-agent Systems (AAMAS), Estoril, Portugal. [PDF]
  • Sudhira, H. S. (2008). Modelling the Strategic Interactions in Urban Governance. In Proceedings of Third International Conference on Public Policy and Governance, Centre for Public Policy, Indian Institute of Management - Bangalore, India.
  • Usher, C, Tilson, L, Olsen, J, Jepsen, M, Walsh, C, Barry, M & Jepsen, MR (2008) Cost-effectiveness of human papillomavirus vaccine in reducing the risk of cervical cancer in Ireland due to HPV types 16 and 18 using a transmission dynamic model. Vaccine , 26(44), pp. 5654-5661.
  • Voinov, A. A., Sven Erik, J., & Brian, F. (2008). Software. Encyclopedia of Ecology (pp. 3270-3277). Oxford: Academic Press.
  • Wang, J., Dam, G., Yildrim, S., Rand, W., Wilensky, U., & Houk, J. C. (2008). Reciprocity between the cerebellum and the cerbral cortex: Nonlinear dynamics in microscopic modules. Complexity, 14(2), 29-45. [PDF]
  • Weisberg, M., & Reisman, K. (2008). The Robust Volterra Principle. Philosophy of Science, 75, 106–131.
  • Whitmeyer, J., Carmichael, T., Eichelberger, C., Hadzikadic, M., Khouja, M., Saric, A., & Sun, M. (2008). A Computer Simulation Laboratory for Social Theories. Paper presented at the 2008 IEEE/WIC/ACM International Conference on Intelligence Agent Technology, Sydney, Australia, December 2008.
  • Wilkerson-Jerde, M., Sengupta, P., & Wilensky, U. (2008). Perceptual supports for sense-making: A case study using multi-agent based computational learning environments. In G. Kanselaar, J. van Merriënboer, P. Kirschner & T. de Jong (Eds.), Proceedings of the Eighth International Conference for the Learning Sciences, ICLS2008 (Vol. 3, pp. 151-152). Utrecht, The Netherlands: ISLS. [PDF]

2007

  • Abrahamson, D., Wilensky, U., & Levin, J. (2007). Agent-Based Modeling as a Bridge Between Cognitive and Social Perspectives on Learning. In D. Abrahamson (Org.), Learning Complexity: Agent-Based Modeling Supporting Education Research on Student Cognition in Social Contexts. Paper presented at the 2007 annual meeting of the American Educational Research Association, Chicago, IL, April 9-13. [PDF]
  • Bakshy, E., & Wilensky, U. (2007). Turtle Histories and Alternate Universes; Exploratory Modeling with NetLogo and Mathematica. In M. J. North, C. M. Macal & D. L. Sallach (Eds.), Proceedings of the Agent 2007 Conference on Complex Interaction and Social Emergence (pp. 147-158). IL: Argonne National Laboratory and Northwestern University. [PDF]
  • Blikstein, P., & Wilensky, U. (2007). Bifocal modeling: a framework for combining computer modeling, robotics and real-world sensing. Paper presented at the 2007 annual meeting of the American Educational Research Association, Chicago, IL, April 9-13. [PDF]
  • Blikstein, P., & Wilensky, U. 2007). Modeling manifold epistemological stances with agent-based computer simulation. Paper presented at the 2007 annual meeting of the American Educational Research Association, Chicago, IL, April 9-13. [PDF]
  • Blikstein, P., Abrahamson, D., & Wilensky, U. (2007). Multi-agent simulation as a tool for investigating cognitive-developmental theory. Paper presented at the 2007 annual meeting of the American Educational Research Association, Chicago, IL, April 9-13. [PDF]
  • Blikstein, P., Rand, W., & Wilensky, U. (2007). Just a Cog in the Machine: Participatory Robotics as a Powerful Tool for Understanding Collaborative Learning. Computer Supported Collaborative Learning (CSCL), Rutgers University, Rutgers, NJ, USA. [PDF]
  • Blikstein, P., Rand, W., & Wilensky, U. (2007). Examining group behavior and collaboration using ABM and robots. In M. J. North, C. M. Macal & D. L. Sallach (Eds.), Proceedings of the Agent 2007 Conference on Complex Interaction and Social Emergence (pp. 159-172). IL: Argonne National Laboratory and Northwestern University. [PDF]
  • Bryson, J., Ando, Y., Lehmann, H. (2007). Agent-based modelling as scientific method: A case study analysing primate social behavior. Philosophical Transactions of the Royal Society, 362, pp.1685-1695. [PDF]
  • Capizzo, M.C. and Bonura, A. and Fazio, C. (2007). Characteristic Properties of Semiconductors Through Experiments and Modelling. Paper presented at GIREP EPEC Conference Frontiers of Physics Education, 26-31 August, 2007, Opatija, Croatia. [PDF]
  • Damaceanu, R-C. (2007). An agent-based computational study of wealth distribution in function of resource growth interval using NetLogo. Applied Mathematics & Computation, Vol 12 (43). [HTML]
  • Doi, M. & Kawaguchi, I. (2007). Ecological impacts of umbrella effects of radiation on the individual members. Journal of Environmental Radioactivity 96(1-3), 32-38.
  • Fitzek, Frank H.P.& Katz, Marcos D.(2007). Cognitive Wireless Networks. Springer. [HTML]
  • Hundhausen, C.D. & Brown, J.L. (2007). What You See Is What You Code: A "live" algorithm development and visualization environment for novice learners. Journal of Visual Languages & Computing 18(1), 22-47.
  • Izquierdo, S.S., & Izquierdo, L.R. (2007). The impact of quality uncertainty without asymmetric information on market efficiency. Journal of Business Research, Volume 60, Issue 8, pp. 858-867. []
  • Johnson, I. D. (2007). Mathematical modeling with NetLogo: Cognitive demand and fidelity. Retrieved February 25, 2010 from http://math.unipa.it/grim/21_project/21_Charlotte_JohnsonPaperEdit.pdf. [PDF]
  • Kahn, K. (2007). Building computer models from small pieces. In Proceedings of the 2007 Summer Computer Simulation Conference (San Diego, California, July 16 - 19, 2007). Summer Computer Simulation Conference (931-936). San Diego, CA: Society for Computer Simulation International. [PDF]
  • Kahn, K. (2007). Comparing Multi-Agent Models Composed from Micro-Behaviours. Retrieved February 25, 2010 from http://dfl.cetis.ac.uk/wiki/uploads/0/0d/M2M_2007_C2L_v4.pdf. [PDF]
  • Katzper, M. (2007). Roles for autonomous physiologic agents; an oxygen supply and demand example. Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come, pp 1483 - 1486. [HTML]
  • Koné, M., Berlanga, Sloep, P. B., Koper, R. (2007). A Learning Community Simulation. Retrieved February 25, 2010 from http://lnx-hrl-001.ou.nl/bitstream/1820/1247/1/KoneetalWBC2007.pdf. [PDF]
  • Kornhauser, D., Rand, W., & Wilensky, U. (2007). Visualization Tools for Agent-Based Modeling in NetLogo. Paper presented at Agent2007, Chicago, November 15-17. [PDF]
  • Lam, R. (2007). Agent-based simulations of service policy decisions. Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come. [PDF]
  • Levy, S., & Wilensky, U. (2007). How do I get there...straight, oscillate or inch? High-school students' exploration patterns of Connected Chemistry. Paper presented at the 2007 annual meeting of the American Educational Research Association, Chicago, IL, April 9-13. [PDF]
  • Levy, S.T., & Wilensky, U. (2007). Action across levels (AAL): A multiple levels perspective on what it means to make sense of complex systems. Paper presented at the EARLI 2007 conference, Budapest, Hungary, September 2007. [PDF]
  • Miller, J.H. & Page, S.E. (2007). Complex Adaptive Systems: An Introduction to Computational Models of Social Life. Princeton University Press.
  • Momen, S., Amavasai, B.P., Siddique, N.H. (2007). Mixed Species Flocking for Heterogeneous Robotic Swarms. IEEE Eurcon 2007, The International Conference on 'computer as a tool,' pp: 2329-2336. [HTML]
  • North, M. J, & Macal, C. M. (2007). Agent-based modeling and simulation: desktop ABMS. Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come. [HTML]
  • Niazi, M., & Baif, A.R. (2007). Phased Approach to Simulation of Security Algorithms for Ambient Intelligent (AmI) Environments. Winter Simulation Conference 07 (WSC07), PhD Student Colloquium, December 7-11, 2007.
  • Ottino-Loffler, J., Rand, W., & Wilensky, U. (2007). Coevolution of Predators and Prey in a Spatial Model. Paper presented at the GECCO 2007 Conference. London, England. July 7-11. [PDF]
  • Rand, W., & Sondahl, F. (2007). The El Farol Bar Poblem and Computational Effort: Why People Fail to Use Bars Efficiently. In M. J. North, C. M. Macal & D. L. Sallach (Eds.), Proceedings of the Agent 2007 Conference on Complex Interaction and Social Emergence (pp. 71-86). IL: Argonne National Laboratory and Northwestern University. [PDF]
  • Rand, W., & Wilensky, U. (2007). Full-Spectrum Modeling: From Simplicity to Elaboration and Realism in Urban Pattern Formation. Paper presented at the North American Association Computational Social and Organization Sciences conference (NAACSOS), Atlanta, GA. [PDF]
  • Sengupta, P., Wilkerson, M. & Wilensky, U. (2007). On The Relationship Between Spatial Knowledge And Learning Electricity: Comparative Case Studies of Students Using 2D And 3D Emergent, Computational Learning Environments. Paper presented at the 2007 annual meeting of the American Educational Research Association, Chicago, IL, April 9-13. [PDF]
  • Sklar, E. (2007). Software Review: NetLogo, a Multi-agent Simulation Environment. Artificial Life, 13, 303-311.
  • Sondahl, F., & Rand, W (2007). Evolution of Non-Uniform Cellular Automata using a Genetic Algorithm: Diversity and Computation. Presented at the GECCO 2007 Conference, London, UK.
  • Sondahl, F., & Rand, W. (2007). Multi-agent Communication Disorders: Dynamic Breeding Networks in Genetic Algorithms. Presentation at Swarmfest 2007 Conference, DePaul University, Chicago, IL. July 2007.
  • Stamatopoulo I., Sakellariou, I., Kefala P., & Eleftheraki G. (2007). Formal Modelling for In-silico Experiments with Social Insect Colonies. Paper presented at the 11th Panhellenic Conference in Informatics, 18-20 May 2007. Patras, Greece. [PDF]
  • Sudhira, H.S., & Ramachandra, T.V. (2007). Integrated Spatial Planning Support System for Managing Urban Sprawl. Reviewed Paper #199, In Conference Proceedings of 10th International Conference on Computers in Urban Planning and Urban Management, Iguassu Falls, PR, Brazil.
  • Sudhira, H.S., & Ramachandra, T.V. (2007). Modelling the dynamics of urban sprawl using system dynamics and agent-based models. International Conference on Framing Land Use Dynamics – II, University of Utrecht, The Netherlands, 18-20 April 2007.
  • Tatara, E., North, M.J., Howe, T., Collier, N., & Parker, M. (2007). Building Models in Repast Symphony: A predator-prey example. Paper presented at NAACSOS 2007, Atlanta, GA.
  • Thompson, J.W., & Sorvig, K. (2007). Sustainable Landscape Construction: A Guide to Green Building Outdoors. 2nd edition. Island Press. [HTML]
  • Wilensky, U., & Rand, W. (2007). Making models match: Replicating agent-based models. Journal of Artificial Societies and Social Simulation (JASSS), 10(4). [PDF]
  • Zhang, T. & Zhang, D. (2007). Agent-based simulation of consumer purchase decision-making and the decoy effect. Journal of Business Research 60(8), 912-922.
  • Zhao C., Zhong N., & Hao Y. (2007). AOC-by-Self-discovery Modeling and Simulation for HIV. In S. Istrail, P. Pevzner, and M. Waterman (Eds.), Life System Modeling and Simulation (4689/2007, 462-469). Springer: Netherlands. [PDF]

2006

  • Abrahamson, D., Janusz, R. M. & Wilensky, U. (2006). There once was a 9-Block... -- A middle-school design for probability and statistics. Journal of Statistics Education, 14(1). [HTML]
  • Andruss, C. (2006). Computational Modeling of the Interaction of the T. cruzi Parasite and its Environment. Final research report presented at the VCU Bio Informatics Institute, Virginia. [PDF]
  • Berland, M. & Wilensky, U. (2006). Constructionist collaborative engineering: Results from an Implementation of PVBOT. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.
  • Blikstein, P. & Wilensky, U. (2006). An atom is known by the company it keeps: A constructionist learning environment for Materials Science using multi-agent simulation. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA, April 7-11. [PDF]
  • Blikstein, P. & Wilensky, U. (2006). 'Hybrid modeling': Advanced scientific investigation linking computer models and real-world sensing. Paper presented at the Proceedings of the Seventh International Conference of the Learning Sciences, Bloomington, IL, June 27-July 1. [PDF]
  • Blikstein, P. & Wilensky, U. (2006). From inert to generative modeling: Case studies of multi-agent-based simulation in undergraduate engineering education. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA. [PDF]
  • Blikstein, P. & Wilensky, U. (2006). A case study of multi-agent-based simulation in undergraduate materials science education. Paper presented at the Annual Conference of the American Society for Engineering Education, Chicago, IL, June 18-21.
  • Blikstein, P., & Wilensky, U. (2006). The Missing Link: A Case Study of Sensing-and-Modeling Toolkits for Constructionist Scientific Investigation. Proceedings of the International Conference for Advanced Learning Technologies (ICALT 2006) (pp. 980-982). Kerkrade, The Netherlands. [PDF]
  • Blikstein, P., Rand, W. & Wilensky, U. (2006). Participatory, embodied, multi-agent simulation. Paper presented at AAMAS 2006. [PDF]
  • Bryson, J. J., Caulfield, T. J., & Drugowitsch, J. (2006). Integrating Life-Like Action Selection into Cycle-Based Agent Simulation Environments. in Proceedings of Agent 2005: Generative Social Processes, Models, and Mechanisms, Michael North, David L. Sallach and Charles Macal eds., pp. 67-81, Argonne National Laboratory 2006. [PDF]
  • Felsen, M., Watson,B. & Wilensky, U. (2006). Urban Complexity + Emergence: Procedural Modeling of City Activity and Form. In Surfacing Urbanisms: Recent Approaches to Metropolitan Design (pp. 261-265). Pasadena, CA: Woodbury University. [PDF]
  • Garofalo, M. (2006). Modeling the El Farol Bar Problem in NetLogo. Submitted for publication. [PDF]
  • Graham, S. (2006). Networks, Agent-Based Modeling, and the Antonine Itineraries. In The Journal of Mediterranean Archaeology 19.1: 45-64.
  • Hammond, R., & Axelrod, R. (2006). The Evolution of Ethnocentrism. Journal of Conflict Resolution, 50(6), 926-936. [HTML]
  • Izquierdo, L.R. and Polhill, J.G. (2006). Is your model susceptible to floating-point errors?Journal of Artificial Societies and Social Simulation 9(4)4. [PDF]
  • Jacobson, M. & Wilensky, U. (2006). Complex systems in education: Scientific and educational importance and implications for the learning sciences. Journal of the Learning Sciences, 15(1), pp. 11-34. [PDF]
  • Jepsen, MR , Leisz, S , Rasmussen, K , Jakobsen, J, Moller-Jensen, L & Christiansen, L (2006)' Agent-based modelling of shifting cultivation field patterns, Vietnam. International Journal of Geographical Information Science , 20(9), pp. 1067-1085.
  • Joyce, D., Kennison, J., Densmore, O., Guerin, S., Barr, S., Charles, E., et al. (2006). My Way or the Highway: a More Naturalistic Model of Altruism Tested in an Iterative Prisoners' Dilemma. Journal of Artificial Societies and Social Simulation, 9(2).
  • Kottonau, J. (2004). Simulation einer Ameisenstraße mit NetLogo. Lehrer-online. [HTML]
  • Lechner, T., Watson, B., Ren, P., Wilensky, U., Tisue, S. & Felsen, M. (2006). Procedural modeling of urban land use. ACM SIGGRAPH 2006 conference. [PDF]
  • Levy, S.T, Novak, M. & Wilensky, U. (2006). Students' foraging through the complexities of the particulate world: Scaffolding for independent inquiry in the connected chemistry (MAC) curriculum. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA. [PDF]
  • Levy, S.T. & Wilensky, U. (2006). Gas laws and beyond: Strategies in exploring models of the dynamics of change in the gaseous state. Paper presented at the annual meeting of the National Association for Research in Science Teaching, San Francisco, CA. [PDF]
  • Levy, S.T. & Wilensky, U. (2006). Emerging knowledge through an emergent perspective: High-school students' inquiry, exploration and learning in the Connected Chemistry curriculum. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA. [PDF]
  • Maroulis, S., & Wilensky, U. (2006). Using agent-based modeling to understand the social dynamics of schools. Paper presented at the Teacher Networks conference, Northwestern University, Evanston,IL, November 8.
  • Railsback, S., Lytinen, S., & Jackson, S. (2006). Agent-based Simulation Platforms: Review and Development Recommendations. SIMULATION, 82(9), 609-623.
  • Rand, W. (2006). Machine Learning Meets Agent-Based Modeling: When Not to Go to a Bar. Paper presented at Agent 2006, Chicago, IL. [PDF]
  • Rand, W. & Wilensky, U. (2006). Verification and Validation through Replication: A Case Study Using Axelrod and Hammond's Ethnocetnrism Model. Paper presented at NAACSOS 2006, South Bend, IN, June 2006. [PDF]
  • Rand, W. & Wilensky, U. (2006). NetLogo 3.1: Low Threshold, No Ceiling. Paper presented at NAACSOS 2006, South Bend, IN, June 2006.
  • Rand, W., Blikstein, P. & Wilensky, U. (2006). Widgets, Planets, and Demons: the Case for the Integration of Human, Embedded, and Virtual Agents via Mediation. Paper presented at Swarmfest 2006, South Bend, IN, June 2006. [PDF]
  • Roberts, B. (2006). Blocked exit syndrome: A serious risk in venue emergencies. Fire & Safety Magazine, Fall 2006.
  • Sengupta, P. & Wilensky, U. (2006) NIELS: An agent-based modeling environment for learning electromagnetism. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.
  • Sondahl, F., Tisue, S. & Wilensky, U. (2006). Breeding faster turtles: Progress towards a NetLogo compiler. Paper presented at Agent 2006, Chicago, IL. [PDF]
  • Thorne, B., Bailey, A, Benedict, K., & Peirce-Cottler, S. (2006). Modeling blood vessel growth and leukocyte extravasation in ischemic injury: an integrated agent-based and finite element analysis approach. Journal of Critical Care, 21(4), 346. [HTML]
  • Unterman, J. & Wilensky, U. (2006). PANDA BEAR: Perimeter and area by embodied agent reasoning. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.
  • Wilensky, U. (2006). Complex systems and restructuration of scientific disciplines: Implications for learning, analysis of social systems, and educational policy. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA, April 7-11.
  • Wilensky, U. (2006). Promoting ABM literacy: implications for design, scientific content and education. Paper presented at Agent 2006, Chicago, IL.
  • Wilensky, U. & Abrahamson, D. (2006). Is a disease like a lottery?: Classroom networked technology that enables student reasoning about complexity. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.
  • Wilensky, U. & Reisman, K. (2006). Thinking Like a Wolf, a Sheep or a Firefly: Learning Biology through Constructing and Testing Computational Theories -- an Embodied Modeling Approach. Cognition & Instruction, 24(2), pp. 171-209. [PDF]
  • Wilensky, U., & Papert, S. (2006). Restructurations: Reformulations of Knowledge Disciplines through a change in representational forms. Unpublished working paper. Evanston, IL. Center for Connected Learning and Computer-Based Modeling. Northwestern University.
  • Xie, Q., & Tinker, R. (2006). Molecular Dynamics Simulations of Chemical Reactions for Use in Education. Journal of Chemical Education, 83(1), 77. [PDF]

2005

  • Abraham, R., Miller, M., & Miller, J. (2005). Emerging 4D graphics for math and science education. Paper presented at the ACM SIGGRAPH 2005 Educators program, Los Angeles, California. [PDF]
  • Abrahamson, D., & Wilensky, U. (2005). Collaboration and equity in classroom activities using Statistics As Multi-Participant Learning-Environment Resource (S.A.M.P.L.E.R.). In W. Stroup and U. Wilensky (Chairs), & C. D. Lee (Discussant), "Patterns in group learning with next-generation network technology." Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada, April 11 - 15. [PDF]
  • Abrahamson, D. & Wilensky, U. (2005). Piaget? Vygotsky? I'm game: Agent-based modeling for psychology research. Paper presented at the annual meeting of the Jean Piaget Society. Vancouver, Canada, June 1-3. [PDF]
  • Abrahamson, D. & Wilensky, U. (2005). ProbLab goes to school: Design, teaching, and learning of probability with multi-agent interactive computer models. Paper presented at the Fourth Conference of the European Society for Research in Mathematics Education, San Feliu de Guixols, Spain. [PDF]
  • Abrahamson, D. & Wilensky, U. (2005). Understanding chance: From student voice to learning supports in a design experiment in the domain of probability. In G.M. Lloyd, M. Wilson, J. L. M. Wilkins & S.L. Behm (Eds.), Proceedings of the Twenty Seventh Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education.Roanoke, VA. [PDF]
  • Aldinger, T., Kopf, S., Scheele, N., & Effelsberg, W. (2005). Participatory Simulation of a Stock Exchange. [PDF]
  • Amos, M., & Wood, A. (2005). Effect of door delay on aircraft evacuation time. Arxiv preprint cs.MA/0509050. [PDF]
  • Banos, A. Godara, A., & Lassarre, S. (2005). Simulating pedestrians and cars behaviours in a virtual city: an agent-based approach. Paper presented at the European Conference on Complex Systems, Paris, 14-18 November. [PDF]
  • Barton, A. (2005). Modelling the Foraging Patterns of a Colony of Co-operating Army Ant Agents using NetLogo. NRC/ERB-1122. February 21, 2005. [PDF]
  • Beer, M. D., & Hill, R. (2005). Integrating Multi-Agent Systems into the Wider Computing Curriculum. Paper presented at the The AAMAS-2005 Workshop on Teaching Multi-Agent Systems - TeachMAS Utrecht, the Netherlands. [PDF]
  • Berland, M., & Wilensky, U. (2005). Complex play systems -- Results from a classroom implementation of VBOT. Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada, April 11 - 15.
  • Blikstein, P. & Wilensky, U. (2005). Less is more: Agent-based simulation as a powerful learning tool in materials science. Paper presented at the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), Utrecht, Netherlands. [PDF]
  • Blikstein, P., Abrahamson, D. & Wilensky, U. (2005). NetLogo: Where we are, where we're going. Paper presented at the annual meeting of Interaction Design and Children. Boulder, Colorado. [PDF]
  • Cace, I., & Bryson, J. (2005). Agent Based Modelling of Communication Costs: Why information can be free. In Emergence and Evolution of Linguistic Communication C. Lyon, C. L Nehaniv and A. Cangelosi, eds., pp. 305-322, Springer 2007. [PDF]
  • Calvez, B., & Hutzler, G. (2005). Parameter Space Exploration of Agent-Based Models. In Knowledge-Based Intelligent Information and Engineering Systems, 3684, 633-639. Springer Berlin / Heidelberg. [PDF]
  • Da Costa, L. E., & Terhesiu, D. (2005). A simple model for the diffusion of ideas. Research Project for the Complex Systems Summer School, SFI (Santa Fe, New Mexico). [PDF]
  • de Marchi, S. (2005). Computational and Mathematical Modeling in the Social Sciences. Cambridge University Press.
  • Forsyth, A. J., Horne, G. E., Upton, S. C., & Center, A. T. (2005). Marine Corps applications of data farming. Paper presented at the Proceedings of the 2005 Winter Simulation Conference. [PDF]
  • Gershenson, C. (2005). Self-Organizing Traffic Lights. Complex Systems, 16(1):29–53. [PDF]
  • Gilbert, N., & Troitzsch, K. (2005). Simulation for the social scientist (second ed.). Milton, UK: Open University Press.
  • Gobert, J., Buckley, B., Dede, C., Levy, S., Slotta, J., & Wilensky, U. (2005). Technology features that support research through logging of student interactions with models. Paper presented at the Winter Text Conference, Jackson Hole, WY, January 20-23.
  • Gulyas, L., Bartha, S., Kozsik, T., Szalai, R., Korompai, A., & Tatai, G. (2005). The Multi-Agent Simulation Suite (MASS) and the Functional Agent-Based Language of Simulation (FABLES). Paper presented at Swarmfest2005, Torino, Italy, June 5-7, 2005. [PDF]
  • Hoffer, L. (2005). Using Agent-based Modeling to Better Understand Local Heroin Dealing. Organizations and Drug Markets, Washington University.
  • Janota, A., Rastocny, K., Zahradnik, J. (2005). Multi-agent approach to traffic simulation in NetLogo environment - Level Crossing model. Paper presented at the 5th International Conference Transport Systems Telematics TST '05, Silesian University of Technology. [PDF]
  • Janota, A., Spalek, J., & Hrbče J. (2005). NetLogo – prostredie na tvorbu multiagentových systémov a jeho využitie na simuláciu riadenia železničného priecestia. AT&P Journal, PLUS7. [PDF]
  • Keshtkar, F., Gueaieb, W., & White, A. (2005). An Agent-based Model for Image Segmentation. Paper presented at the 13th Multi-disciplinary Iranian Researchers Conference in Europe (IRCE'2005), Leeds, United Kingdom, July 2005.
  • Khouadjia, M., Khanfouf, H., & Meshoul, S. (2005). Une Approche adaptative pour la segmentation dÕimages: Implementation sur la plate-forme Multi-agents NetLogo. Working Paper, Laboratoire LIRE, Université Mentouri, Constantine, Algérie. [PDF]
  • Koehler, M., Tivnan, B., & Bloedorn, E. (2005). Generating Fraud: Agent Based Financial Network Modeling. Paper presented at the NAACSOS Conference 2005, South Bend, IN, June 26-28. [PDF]
  • Koehler, M., Tivnan, B., & Upton, S. (2005). Clustered Computing with NetLogo and Repast J: Beyond Chewing Gum and Duct Tape. Paper presented at the Agent2005 conference, Chicago, IL. [PDF]
  • Kopf, S., Scheele, N., Winschel, L., & Effelsberg, W. (2005). Improving Activity and Motivation of Students with Innovative Teaching and Learning Technologies. International Conference on Methods and Technologies for Learning (ICMTL). [PDF]
  • Lauberte, I. (2005). Using of cellular automata in agent-based simulation for regional development. Paper presented at the 6th Conference on Baltic Studies in Europe, Valmiera, June 17-19, pp. 99-104. [doc]
  • Laver, M. (2005). Policy and the dynamics of political competition. American Political Science Review, 99(2), 263-281. [PDF]
  • Le, Q.B. (2005). Multi-agent system for simulation of land-use and land-cover change: a theoretical framework and its first implementation for an upland watershed in the Central Coast of Vietnam. Ecology and Development Series 29. Göttingen: Cuvillier Verlag.
  • Levy, S.T., & Wilensky, U. (2005). Students' patterns in exploring NetLogo models, embedded in the Connected Chemistry curriculum. In J. Gobert (Chair) and J. Pellegrino (Discussant), "Logging students' learning in complex domains: Empirical considerations and technological solutions." Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada, April 11 - 15. [PDF]
  • Maroulis, S., & Wilensky, U. (2005). Modeling school districts as complex adaptive systems: A simulation of market-based reform. Paper presented at the 3rd Lake Arrowhead Conference on Human Complex Systems. Lake Arrowhead, CA, May 18-22.
  • Michel, F., Beurier, G., & Ferber, J. (2005). The TurtleKit Simulation Platform: Application to Multi-Level Emergence. First International Conference on Signal-Image Technology & Internet-Based Systems (Workshop Sessions), Hilton Hotel, Yaoundé, Cameroon, November 27th - December 1st, 2005. [PDF]
  • Morrison, D., & Dennis, B. (2005). MetaLab: supporting social grounding and group task management in CSCL environments through social translucence. Proceedings of the Proceedings of the 2005 conference on Diversity in computing (pp. 20-22). Albuquerque, New Mexico, USA: ACM. [PDF]
  • Muscalagiu, I., Horia-Emil, P., & Panoiu, M. (2005). Determining the Number of Messages Transmitted for the Temporary Links in the Case of ABT Family Techniques. Paper presented at the 7th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05), Timisoara, Romania September 25-29, 2005.
  • Nan, N., Johnston, E., Olson, J., & Bos, N. (2005). Beyond being in the lab: using multi-agent modeling to isolate competing hypotheses. Paper presented at the Conference on Human Factors in Computing Systems, Portland, OR. [HTML]
  • Ohshima, Y. (2005). Kedama: A GUI-Based Interactive Massively Parallel Particle Programming System. Visual Languages and Human-Centric Computing, 2005 IEEE Symposium on, 91-98.
  • Pereira, G. M. (2005). The effects of functional diversity in spatially distributed geographic domains. Paper presented at the Geocomputation 2005 conference. [PDF]
  • Rand, W., Brown, D., Riolo, R. & Robinson, D. (2005). Toward a graphical ABM toolkit with GIS integration. Paper presented at the Agent2005 Conference, Chicago, IL, October 13-14. [PDF]
  • Robertson, D. A. (2005). Agent-Based Modeling Toolkits NetLogo, RePast, and Swarm. Academy of Management Learning and Education, 4(4), 525-527. [PDF]
  • Sengupta, P. & Wilensky, U. (2005). N.I.E.L.S: An emergent multi-agent based modeling environment for learning physics. Paper presented at the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), Utrecht, Netherlands.
  • Shaker, A., Reeves, D.S. (2005). Self-Stabilizing Structured RingTopology P2P System. Paper presented at the Fifth IEEE International Conference on Peer-to-Peer Computing (P2P'05). [PDF]
  • Stieff, M., Bateman Jr., R. C., Uttal, D. (2005). Teaching and Learning with Three-dimensional Representations. In J. K. Gilbert (Ed.) Models and Modeling in Science Education (Vol 1, 93-120). Springer: Netherlands. [PDF]
  • Stirling, D. (2005). Modeling complex systems. Paper submitted to the Advanced International Colloquium on Building the Scientific Mind. [PDF]
  • Vidal, J. M. (2005). NetLogo for Building Prototype Multiagent Systems. [PDF]
  • Wheeler, S. (2005). On the Suitability of NetLogo for the Modelling of Civilian Assistance and Guerrilla Warfare. DSTO Science Systems Laboratory. [PDF]
  • Xie, C. (2005). Molecular Dynamics Simulations Beyond the Lennard-Jones Particles. Submitted to the American Journal of Physics. [PDF]

2004

  • Abrahamson, D. (2004). Embodied spatial articulation: A gesture perspective on student negotiation between kinesthetic schemas and epistemic forms in learning mathematics. In D. E. McDougall and J. A. Ross (Eds.), Proceedings of the Twenty Sixth Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education Vol. 2 (pp. 791 - 797). Windsor, Ontario: Preney. [PDF]
  • Abrahamson, D., & Wilensky (2004). ProbLab: A computer-supported unit in probability and statistics. In M.J. Hoines & A.B. Fuglestad (Eds.), Proceedings of the 28th Annual Meeting of the International Group for the Psychology of Mathematics Education Vol. 1 (p. 369). Bergen: Bergen University College. [PDF]
  • Abrahamson, D., & Wilensky, U. (2004). SAMPLER: Collaborative interactive computer-based statistics learning environment. In the Proceedings of the 10th International Congress on Mathematical Education, Copenhagen, July 4 - 11, 2004. http://www.icme-organisers.dk/tsg11/. [PDF]
  • Abrahamson, D., & Wilensky, U. (2004). S.A.M.P.L.E.R.: Statistics As Multi-Participant Learning-Environment Resource. In U. Wilensky (Chair) and S. Papert (Discussant), "Networking and complexifying the science classroom: Students simulating and making sense of complex systems using the HubNet networked architecture." Paper presented at the annual meeting of the American Educational Research Association, San Diego, CA, April 12 - 16. [PDF]
  • Abrahamson, D., Berland, M.W., Shapiro, R.B., Unterman, J.W., & Wilensky, U. (2004). Leveraging epistemological diversity through computer-based argumentation in the domain of probability. In Y. B. Kafai, W. A. Sandoval, N. Enyedy, A. S. Nixon, & F. Herrera (Eds.), Proceedings of The Sixth International Conference of the Learning Sciences (pp. 28 - 35). Mahwah NJ: Lawrence Erlbaum Associates. [PDF]
  • Achorn, E. (2004). Integrating Agent-Based Models with Quantitative and Qualitative Research Methods. [PDF]
  • Agar, M. (2004). An Anthropological Problem, A Complex Solution. Human Organization, 63(4), 411-418. [PDF]
  • Agar, M. (2004). Agents in Living Color: Towards Emic Agent-Based Models. Journal of Artificial Societies and Social Simulation (JASSS), 8 (1): 4. [HTML]
  • Aschwanden, P. (2004). Spatial Simulation Model for Infectious Viral Diseases with Focus on SARS and the Common Flu. In Proceedings of the 37th Hawaii International Conference on System Sciences, January 2004. [PDF]
  • Barry, P., & Koehler, M. (2004). Simulation in context; using data farming for decision support. Simulation Conference, 2004. Proceedings of the 2004 Winter, 1. [PDF]
  • Berland, M., & Wilensky, U. (2004). Virtual robotics in a collaborative constructionist learning environment. In U. Wilensky (Chair) and S. Papert (Discussant), "Networking and complexifying the science classroom: Students simulating and making sense of complex systems using the HubNet networked architecture." Paper presented at the annual meeting of the American Educational Research Association, San Diego, CA, April 12 - 16.
  • Blikstein, P., & Wilensky, U. (2004) MaterialSim: an agent-based simulation toolkit for Materials Science learning. Paper presented at the International Conference on Engineering Education, Gainesville, Florida. [PDF]
  • Bloomquist, K. (2004). Modeling Taxpayers Response to Compliance Improvement Alternatives. Paper presented at the Annual Conference of the North American Association for Computational Social and Organizational Science (NAACSOS), Pittsburgh, PA. [doc]
  • Bourjot, C., & Chevrier, V. (2004). A Platform for the analysis of artificial self-organized systems. 2004 IEEE International Conference on Advances in Intelligent Systems-Theory and Applications-AISTA. [PDF]
  • Bryson, J. (2004). Action Selection and Individuation in Agent Based Modelling. [PDF]
  • Buckley, B.C., Gobert, J.D., Kindfield, A., Horwitz, P., Tinker, R., Gerlits, B., Wilensky, U., Dede, C., & Willett, J. (2004). Model-based Teaching and Learning with BioLogica™: What do they learn? How do they learn? How do we know? Journal of Science Education and Technology, 13(1), 23-41. [PDF]
  • Cacciaguerra, S., Roccetti, M., Roffilli, M., & Lomi, A. (2004). A Wireless Software Architecture for Fast 3D Rendering of Agent-Based Multimedia Simulations on Portable Devices. Paper presented at the First Consumer Communications and Networking Conference (CCNC), IEEE Communications Society, Las Vegas, Nevada (USA), January 2004. [PDF]
  • Chitnis, A.B. & Itoh, M. (2004). Exploring alternative models of rostral-caudal patterning in the zebrafish neurectoderm with computer simulations. Current Opinion in Genetics & Development 14(4), 415-421.
  • Densmore, O. (2004). NetLogo 2.0: Graphs, Nodes, and Edges Oh My! Januray 12, 2004, O'Reilly.com. [HTML]
  • Friedman, D., & Abraham, R. (2004). Landscape Dynamics and Conspicuous Consumption. Paper presented at the 2004 Proceedings of the Society for Dynamic Games. [PDF]
  • Goldstone, R. L. (2004). The complex systems see-change in education. Journal of the Learning Sciences, 15 (1), pp 35 - 43. [PDF]
  • Gross, T. S., Poliachik, S. L., Ausk, B. J., Sanford, D. A., Becker, B. A., & Srinivasan, S. (2004). Why rest stimulates bone formation: a hypothesis based on complex adaptive phenomenon. Exerc Sport Sci Rev, 32(1), 9-13. [PDF]
  • Henein, C.M., & White, T. (2004). Agent-based modelling of forces in crowds. In Lecture Notes in Computer Science Vol. 3415, 2005. [PDF]
  • Ingalls, R. G., Rossetti, M. D., Smith, J. S., & Peters, B. A. (2004). Simulation in context: Using data farming for decision support. Paper presented at the 2004 Winter Simulation Conference. [PDF]
  • Le, Q. B., Park, S., & Vlek, P. L. G. (2004). Simulating Spatial Patterns of Land-use and Land-cover Change: A Multi-agent Model and its Application to an Upland Watershed in Central Vietnam. In K. J. Peters, D. Kirschke, W. Manig, A. Bürkert, R. Schultze-Kraft, L. Bharati, C. Bonte-Friedheim, A. Deininger, N. Bhandari, H. Weitkamp (Eds.), "Rural Poverty Reduction through Research for Development and Transformation" - Proceedings of the Deutscher Tropentag 2004 (p. 67). Berlin: Humboldt-Universität. [PDF]
  • Lechner, T., Watson, B., Wilensky, U., & Felsen, M. (2004). Procedural modeling of land use in cities. Technical report NWU-CS-04-38. Evanston, IL: Northwestern University, Computer Science department. [PDF]
  • Levy, S.T., & Wilensky, U. (2004). Making sense of complexity: Patterns in forming causal connections between individual agent behaviors and aggregate group behaviors. In U. Wilensky (Chair) and S. Papert (Discussant), "Networking and complexifying the science classroom: Students simulating and making sense of complex systems using the HubNet networked architecture." Paper presented at the annual meeting of the American Educational Research Association, San Diego, CA, April 12 - 16.
  • Levy, S.T., Kim, H., & Wilensky, U. (2004). Connected Chemistry - A study of secondary students using agent-based models to learn chemistry. In J. Gobert (Chair) and N. H. Sabelli (Discussant), "Modeling Across the Curriculum (MAC): Technology, Pedagogy, Assessment, & Research." Paper presented at the annual meeting of the American Educational Research Association, San Diego, CA, April 12 - 16. [PDF]
  • Miller, J.H., & Page, S.E. (2004). The Standing Ovation Problem. Complexity 9(5), pp 8-16. [HTML]
  • Newman, Chris. "Revolution by Osmosis: A Case Study of West Florida, Texas, California and Hawaii." Proceedings of the Fifth Annual International Conference on Complex Systems, May, 2004.
  • Prodromou, T. (2004). Distribution as emergent phenomena. Proceedings of the British Society for Research into Learning Mathematics, 24(1), 49-54. [PDF]
  • Sallez, Y., Berger, T., & Tahon, C. (2004). Simulating intelligent routing in flexible manufacturing systems using NetLogo. Industrial Technology, 2004 IEEE International Conference.
  • Sancho-Royo, A., Pelta, D. A., Verdegay, J. L., & Gonzalez, J. R. (2004). Evaluation of Cooperative Strategies in Optimization Problems. [PDF]
  • Schellinck, J., & White, T. (2004). Use of NetLogo as a rapid prototyping tool for the creation of more rigorous spatially explicit individual-based biological models. First Open International Conference on Modeling & Simulation. [PDF]
  • Singh, A., & Haahr, M. (2004). Topology Adaptation in P2P Networks Using Schelling's Model. Proceedings of the Workshop on Games and Emergent Behaviors in Distributed Computing Environments (Birmingham, UK, Sept. 2004). [PDF]
  • Solberg, J. (2004). Assemble time for self-assembling square tiles. Project for MECH 448. [PDF]
  • Tisue, S., & Wilensky, U. (2004). NetLogo: Design and Implementation of a Multi-Agent Modeling Environment. Paper presented at the Agent2004 Conference, Chicago, IL. (This is a combined, revised, and updated version of our ICCS and SwarmFest papers from earlier this year.) [PDF]
  • Tisue, S., & Wilensky, U. (2004). NetLogo: A simple environment for modeling complexity. Paper presented at the International Conference on Complex Systems, Boston, May 16 - 21. [PDF]
  • Tisue, S., & Wilensky, U. (2004). NetLogo: Design and implementation of a multi-agent modeling environment. Paper presented at SwarmFest, Ann Arbor, MI, May 9 - 11. [PDF]
  • Vag, A. (2004). First generation multi-agent models and their upgrades. Interdisciplinary Description of Complex Systems, 2(1), 95-103. [PDF]
  • Vidal, J. M., Buhler, P., & Goradia, H. (2004). The Past and Future of Multiagent Systems. Paper presented at the AAMAS Workshop on Teaching Multi-Agent Systems. [PDF]
  • Winschel, L., & Kopf, S. (2004). Entwicklung einer Börsensimulation mit der multiagentenbasierten Entwicklungsumgebung NetLogo. Universität Mannheim / Institut für Informatik. [PDF]
  • Wokoma, I., Sacks, L., & Marshall, I. (2004). A Self-Organising Clustering Algorithm for Wireless Sensor Networks. University College, London. [DOC]

2003

  • Abrahamson, D., & Wilensky, U. (2003). The quest of the bell curve: A constructionist approach to learning statistics through designing computer-based probability experiments. In M. A. Mariotti (Ed.), Proceedings of the Third Conference of the European Society for Research in Mathematics Education. Pisa, Italy: University of Pisa. Retrieved June 1, 2009, from http://www.dm.unipi.it/didattica/CERME3/proceedings/Groups/TG5/TG5_abrahamson_cerme3.pdf. [PDF]
  • Agar, M. (2003). My Kingdom for a Function: Modelling Misadventures of the Innumerate. Journal of Artificial Societies and Social Simulation, 6(3). [HTML]
  • Bouquet, P., Busetta, P., Adami, G., Bonifacio, M., & Palmieri, F. (2003). K-Trek: A Peer-to-Peer Infrastructure for Distributing and Using Knowledge in Large Environments. Paper presented at the WOA 2003: dagli Oggetti agli Agenti Sistemi Intelligenti e Computazione Pervasiva, Cagliari, Italy. [PDF]
  • Driscoll, M.P. (2003). How people learn (and what technology might have to do with It). ERIC Digest. [PDF]
  • Evans, D., Heuvelink, A., & Nettle, D. (2003). The evolution of optimism: A multi-agent based model of adaptive bias in human judgement. Proceedings of the AISB'03 Symposium on Scientific Methods for the Analysis of Agent-Environment Interaction, University of Wales, pp.20-25. [PDF]
  • Fell, A. (2003). A Study of Modeling Crowd Dynamics. Final year project in Compter Science, Carleton University. [PDF]
  • Gobert, J., Horwitz, P., Tinker, R., Buckley, B., Wilensky, U., Levy, S. T. & Dede, C. (2003). Modeling across the curriculum: Scaling up modeling using technology. Paper presented at the Twenty-Fifth Annual Meeting of the Cognitive Science Society, Boston, MA, July 31 - August 2. [PDF]
  • Goldstone, R. (2003). "Complex Adaptive Systems" psychology course at Indiana University. Spring 2003. Syllabus: [HTML]
  • Hills, L. (2003). A Thin Red Line Between Red and Green: Emerging Patterns in Group Preference an Exploration at Bryn Mawr College. Senior Thesis, Dartmouth College. [PDF]
  • Horwitz, P., Gobert, J., Wilensky, U., & Dede, C. (2003). MAC: A longitudinal study of modeling technology in science classrooms. Paper presented at the National Educational Computing Conference (NECC), Seattle, WA.
  • InfoWorld. (2003). Experts: U.S. needs better terror models. Investigative report. [HTML]
  • Kline, G. (2003). Campers at UI have fun, G.A.M.E.S. News-Gazette. August 23, 2003. [HTML]
  • Korman, M. J. (2003). LiveLetters: Writing with Emergence. [HTML]
  • Lomi, A., & Cacciaguerra, S. (2003). Decision Chemistry Part II: The Emergence of Routines. [HTML]
  • Longo, D., Peirce, S., Skalak, T., Marsden, M., Davidson, L., Dzamba, B., et al. (2003). Computational automata simulation of blastocoel roof thinning in the Xenopu laevis embryo. Systems and Information Engineering Design Symposium, 2003 IEEE, 127-131. [PDF]
  • Manhart, K. (2003). Schildkrštenwelten - Multi-Agenten-Simulationen mit NetLogo und StarLogo. C'T, 2003(25), 232-237.
  • Stieff, M., & Wilensky, U. (2003). Connected Chemistry - incorporating interactive simulations into the chemistry classroom. Journal of Science Education and Technology, 12(3), 285-302. [HTML]
  • Turcsanyi-Szabo, M. (2003). Practical Teacher Training Through Implementation of Capacity Building Internet Projects. Proceedings of Society for Information Technology and Teacher Education Conference, Albuquerque, 2003, 1564-1571. [PDF]
  • Wilensky, U. (2003). Statistical mechanics for secondary school: The GasLab modeling toolkit. International Journal of Computers for Mathematical Learning, 8(1), 1-41 (special issue on agent-based modeling). [PDF]
  • Wilensky, U., & Stroup, W. (2003). Participatory Simulations guide for Computer-HubNet. Evanston, IL, Center for Connected Learning and Computer Based Modeling, Northwestern University. (Updated 2004, 2005) [PDF]
  • Wilensky, U., & Stroup, W. (2003). Embedded complementarity of object-based and aggregate reasoning in students developing understanding of dynamic systems. Paper presented at the annual meeting of the American Educational Research Association, Chicago, IL, April 1-5.

2002

  • Abrahamson, D., & Wilensky, U. (2002). Statistics as situated probability: The design and implementation of S.A.M.P.L.E.R. Unpublished manuscript.
  • Abrahamson, D., Berland, M., Shapiro, R.B., Unterman, J., & Wilensky, U. (2002). Collaborative interpretive argumentation as a phenomenological-mathematical negotiation: A case of statistical analysis of a computer simulation of complex probability. Unpublished manuscript. [PDF]
  • Bull, G., Bell, R., Garofalo, J., & Sigmon, T. (2002). Learner-Based Tools: The Case for Open Source Educational Software. Learning & Leading with Technology, 30(2), 10-17.
  • Fazio, C., Sperandeo-Mineo, R. M., & Tarantino, G. (2002). Mathematical representation of real systems: Two modelling environments involving different learning strategies. [PDF]
  • Gilbert, N. (2002). Varieties of Emergence. In M. J. North, C. M. Macal & D. L. Sallach (Eds.), Proceedings of the Agent 2002 Conference on Complex Interaction and Social Emergence (pp. 41-50). IL: Argonne National Laboratory and Northwestern University. [PDF]
  • Gilbert, N. a. B., S. (2002). Platforms and methods for agent-based modeling. Paper presented at the National Academy of Sciences of the United States of America.
  • Lehmann, H., Wang, J., & Bryson, J. (2002). Tolerance and sexual attraction is despotic societies: A replication and analysis of Hemelrijk. Artificial models of natural Intelligence. UK. [PDF]
  • MSCP Project Summary. [HTML]
  • North, M.J., & Burkhart, R.M. (2002). Agent-Based Methods, Toolkits, and Techniques. In M. J. North, C. M. & D. L. Sallach (Eds.), Proceedings of the Agent 2002 Conference on Complex Interaction and Social Emergence (pp. 3-10). IL: Argonne National Laboratory and University of Chicago. [PDF]
  • Ratto, M., Shapiro, R.B., Truong, T., & Griswold, W. (2002). The ActiveClass Project: Experiments in encouraging classroom participation. Unpublished manuscript.
  • Stieff, M., & Wilensky, U. (2002). ChemLogo: An emergent modeling environment for teaching and learning chemistry. Paper presented at the Fifth Biannual International Conference of the Learning Sciences, Seattle, WA, October. [HTML]
  • Stroup, W., Kaput, J., Ares, N., & Wilensky, U. (2002). The nature and future of classroom connectivity: The dialectics of mathematics in the social space. Paper presented at the Psychology of Mathematics Education conference, Atlanta, GA, October. [PDF]
  • Wilensky, U., & Stroup, W. (2002). Participatory Simulations: Envisioning the networked classroom as a way to support systems learning for all. Paper presented at the annual meeting of the American Educational Research Association, New Orleans, LA, April 13. [PDF]
  • Wilensky, U., & Stroup, W. (2002). Participatory Simulations guide for Calculator-HubNet. Evanston, IL, Center for Connected Learning and Computer Based Modeling, Northwestern University. (Updated 2003, 2004, 2005)

2001

  • Kahn, K. (2001). ToonTalk and Logo. Paper presented at Eurologo 2001. [PDF]
  • Neuwirth, E. (2001). Turtle Ballet: Simulating Parallel Turtles in a Nonparallel LOGO Version. Paper presented at the Eurologo 2001. [RTF]
  • Tam, P-W. (2001). "E-Commerce (A Special Report): The Classroom - Tools of the future: Thanks to Technology, K-12 will never look the same." Wall Street Journal (Eastern edition). New York, New York. March 12, 2001. p. R28.
  • Wilensky, U. (2001). Emergent Entities and Emergent Processes: Constructing Emergence through Multi-agent programming. Paper presented at the annual meeting of the American Educational Research Association. Seattle, WA. [HTML]
  • Wilensky, U. (2001). Modeling nature's emergent patterns with multi-agent languages. Paper presented at EuroLogo 2001. Linz, Austria. [HTML]
  • Wilensky, U. (2001). Embodied Learning: Students Enacting Complex Dynamic Phenomena with the HubNet Architecture. Paper presented at the annual meeting of the American Educational Research Association. Seattle, WA. [PDF]

2000

  • Centola D., McKenzie E., & Wilensky U. (2000). Survival of the groupiest: Facilitating students' understanding of multi-level evolution through multi-agent modeling - The EACH Project. In Proceedings of the Fourth International Conference on Complex Systems. Nashua, NH: New England Complex Systems Institute, and InterJournal Complex Systems, 377 [PDF]
  • Centola D., Wilensky U., & McKenzie E. (2000). A hands-on modeling approach to evolution: Learning about the evolution of cooperation and altruism through multi-agent modeling - The EACH Project. Proceedings of the Fourth Annual International Conference of the Learning Sciences, Ann Arbor, MI, June 14-17. [PDF]
  • Gilbert, N. T., P. (2000). How to build and use agent-based models in social science. Mind and Society, 1(1), 57-72.
  • Wilensky, U., & Centola, D. (2007). Simulated Evolution: Facilitating Students' Understanding of the Multiple Levels of Fitness through Multi-Agent Modeling. Paper presented at the Evolution Challenges conference, Phoenix, AZ, November 1-4. [PDF]
  • Wilensky, U., Stroup, W. (2000). Networked gridlock: Students enacting complex dynamic phenomena with the HubNet architecture. Proceedings of the Fourth Annual International Conference of the LearningSciences, Ann Arbor, MI, June 14 - 17. [HTML]

1999

  • Wilensky, U. (1999). GasLab: An extensible modeling toolkit for exploring micro- and macro- views of gases. In N. Roberts, W. Feurzeig, & B. Hunter (Eds.), Computer modeling and simulation in science education (pp. 151-178). Berlin: Springer Verlag. [HTML]
  • Wilensky, U. (2003). Statistical mechanics for secondary school: The GasLab Modeling Toolkit. International Journal of Computers for Mathematical Learning, 8(1), 1-41. (special Issue on agent-based modeling). [PDF]
  • Wilensky, U., & Resnick, M. (1999). Thinking in Levels: A Dynamic Systems Perspective to Making Sense of the World. Journal of Science Education and Technology, 8(1). [PDF]
  • Wilensky, U., & Stroup, W. (1999). Learning through participatory simulations: Network-based design for systems learning in classrooms. Proceedings of Computer Supported Collaborative Learning (CSCL'99). Stanford, CA, December 12 - 15. [HTML]
  • Wilensky, U., & Stroup, W. (1999). Participatory Simulations: Networked-based Design for Systems Learning in Classrooms. Presented at the PI meeting of the National Science Foundation, EHR division, June 3 - 4. [HTML]
  • Wilensky, U., Hazzard, E & Froemke, R. (1999). GasLab: An Extensible Modeling Toolkit for Exploring Statistical Mechanics. Paper presented at the Seventh European Logo Conference - EUROLOGO '99, Sofia, Bulgaria. [HTML]