In Press

  1. Niazi, M., Siddique, Q., Hussain, A., & Kolberg, M. (In Press). Verification & Validation of an Agent-Based Forest Fire Simulation Model, Agent-Directed Simulation Symposium, SCS Spring Simulation Conference, April 2010, Orlando, FL.

2010

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.

2009

  1. 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). [html]
  2. 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.
  3. 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). [html]
  4. Janssen, M.A. (2009) Understanding Artificial Anasazi. Journal of Artificial Societies and Social Simulation 12(4), 13.
  5. 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.
  6. Kimbrough, S. O., & Murphy, F. H. (2009). Learning to collude tacitly on production levels by oligopolistic agents. Computational Economics 33(1), 47-78. [pdf]
  7. 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.
  8. 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]
  9. 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]
  10. 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.
  11. 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.
  12. 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]

2008

  1. 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.
  2. 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.
  3. Earnest, D.C. (2008). “Coordination in Large Numbers: An Agent-Based Model of International Negotiations.” International Studies Quarterly 52, 2: 363-382. [html]
  4. Francisco, M. (2008). Designing classrooms with ABM. Paper presented at Swarmfest, 2008.
  5. 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.
  6. 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.
  7. 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]
  8. Menezes, R., & Bullen, H. (2008). A study of terrain coverage models. Proceedings of the 2008 ACM symposium on Applied computing. [html]
  9. Menke, N. (2008). Modeling the Effects of Trauma on Epidermal Wound Healing. Paper presented at Swarmfest, 2008.
  10. 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]
  11. 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]

2007]

  1. 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]
  2. Fitzek, Frank H.P.& Katz, Marcos D.(2007). Cognitive Wireless Networks. Springer. [html]
  3. 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]
  4. 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. [html]
  5. 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]
  6. Sklar, E. (2007). Software Review: NetLogo, a Multi-agent Simulation Environment. Artificial Life, 13, 303-311.
  7. 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.

2006

  1. 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]
  2. 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]
  3. Garofalo, M. (2006). Modeling the El Farol Bar Problem in NetLogo. Submitted for publication. [pdf]
  4. Hammond, R., & Axelrod, R. (2006). The Evolution of Ethnocentrism. Journal of Conflict Resolution, 50(6), 926-936. [html]
  5. 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).
  6. Railsback, S., Lytinen, S., & Jackson, S. (2006). Agent-based Simulation Platforms: Review and Development Recommendations. SIMULATION, 82(9), 609-623.
  7. Roberts, B. (2006). Blocked exit syndrome: A serious risk in venue emergencies. Fire & Safety Magazine, Fall 2006.
  8. 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]
  9. Xie, Q., & Tinker, R. (2006). Molecular Dynamics Simulations of Chemical Reactions for Use in Education. Journal of Chemical Education, 83(1), 77. [pdf]

2005

  1. Aldinger, T., Kopf, S., Scheele, N., & Effelsberg, W. (2005). Participatory Simulation of a Stock Exchange. [pdf]
  2. Amos, M., & Wood, A. (2005). Effect of door delay on aircraft evacuation time. Arxiv preprint cs.MA/0509050. [pdf]
  3. 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]
  4. 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]
  5. 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]
  6. Calvez, B., & Hutzler, G. (2005). Parameter Space Exploration of Agent-Based Models. LECTURE NOTES IN COMPUTER SCIENCE, 3684, 633.
  7. 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]
  8. 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]
  9. Gershenson, C. (2005). Self-Organizing Traffic Lights. Complex Systems, 16(1):29–53. [pdf]
  10. 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 the Swarmfest 2005. [pdf]
  11. 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]
  12. 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.
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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]
  18. Laver, M. (2005). Policy and the dynamics of political competition. American Political Science Review, 99(2), 263-281. [pdf]
  19. 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]
  20. Morrison, D., & Dennis, B. (2005). MetaLab: supporting social grounding and group task management in CSCL environments through social translucence. Proceedings of the 2005 conference on Diversity in computing, 20-22.
  21. 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. Symbolic and Numeric Algorithms for Scientific Computing, 2005. SYNASC 2005. Seventh International Symposium on, 215-222.
  22. 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]
  23. 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.
  24. Pereira, G. M. (2005). The effects of functional diversity in spatially distributed geographic domains. Paper presented at the Geocomputation 2005 conference. [pdf]
  25. Robertson, D. A. (2005). Agent-Based Modeling Toolkits NetLogo, RePast, and Swarm. ACADEMY OF MANAGEMENT LEARNING AND EDUCATION, 4(4), 525.
  26. Stirling, D. (2005). Modeling complex systems. Paper submitted to the Advanced International Colloquium on Building the Scientific Mind. [pdf]
  27. Vidal, J. M. (2005). NetLogo for Building Prototype Multiagent Systems. [pdf]
  28. Wheeler, S. (2005). On the Suitability of NetLogo for the Modelling of Civilian Assistance and Guerrilla Warfare. DSTO Science Systems Laboratory. [pdf]
  29. Xie, C. (2005). Molecular Dynamics Simulations Beyond the Lennard-Jones Particles. Submitted to the American Journal of Physics. [pdf]

2004

  1. Achorn, E. (2004). Integrating Agent-Based Models with Quantitative and Qualitative Research Methods. [pdf]
  2. Agar, M. (2004). An Anthropological Problem, A Complex Solution. Human Organization, 63(4), 411-418.
  3. Aschwanden, P. (2004). Spatial Simulation Model for Infections Viral Diseases with Focus on SARS and the Common Flu. In Proceedings of the 37th Hawaii International Conference on System Sciences, January 2004.
  4. Barry, P., & Koehler, M. (2004). Simulation in context; using data farming for decision support. Simulation Conference, 2004. Proceedings of the 2004 Winter, 1. [pdf]
  5. 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]
  6. 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]
  7. Bryson, J. (2004). Action Selection and Individuation in Agent Based Modelling. [pdf]
  8. 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 Proc. of the First Consumer Communications and Networking Conference (CCNC), IEEE Communications Society, Las Vegas, Nevada (USA), January 2004. [pdf]
  9. Densmore, O. (2004). NetLogo 2.0: Graphs, Nodes, and Edges Oh My! Januray 12, 2004, O'Reilly.com. [html]
  10. Friedman, D., & Abraham, R. (2004). Landscape Dynamics and Conspicuous Consumption. Paper presented at the 2004 Proceedings of the Society for Dynamic Games. [pdf]
  11. Goldstone, R. L. (2004). The complex systems see-change in education. Journal of the Learning Sciences, 15 (1), pp 35 - 43. [pdf]
  12. 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.
  13. Henein, C.M., & White, T. (2004). Agent-based modelling of forces in crowds. In Lecture Notes in Computer Science Vol. 3415, 2005. [pdf]
  14. 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]
  15. 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. Paper presented at the Deutscher Tropentag 2004.
  16. Prodromou, T. (2004). Distribution as emergent phenomena. Proceedings of the British Society for Research into Learning Mathematics, 24(1), 49-54. [pdf]
  17. Sallez, Y., Berger, T., & Tahon, C. (2004). Simulating intelligent routing in flexible manufacturing systems using NetLogo. Industrial Technology, 2004 IEEE International Conference.
  18. Sancho-Royo, A., Pelta, D. A., Verdegay, J. L., & Gonzalez, J. R. (2004). Evaluation of Cooperative Strategies in Optimization Problems. [pdf]
  19. 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]
  20. 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]
  21. Solberg, J. (2004). Assemble time for self-assembling square tiles. Project for MECH 448. [pdf]
  22. Vag, A. (2004). First generation multi-agent models and their upgrades. Interdisciplinary Description of Complex Systems, 2(1), 95-103.
  23. 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]
  24. Wokoma, I., Sacks, L., & Marshall, I. (2004). A Self-Organising Clustering Algorithm for Wireless Sensor Networks. University College, London. [doc]

2003

  1. Agar, M. (2003). My Kingdom for a Function: Modelling Misadventures of the Innumerate. Journal of Artificial Societies and Social Simulation, 6(3). [html]
  2. 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]
  3. Driscoll, M.P. (2003). How people learn (and what technology might have to do with It). ERIC Digest.
  4. 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]
  5. Fell, A. (2003). A Study of Modeling Crowd Dynamics. Final year project in Compter Science, Carleton University. [pdf]
  6. 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]
  7. InfoWorld. (2003). Experts: U.S. needs better terror models. Investigative report. [html]
  8. Kline, G. (2003). Campers at UI have fun, G.A.M.E.S. News-Gazette. August 23, 2003. [html]
  9. Korman, M. J. (2003). LiveLetters: Writing with Emergence. [html]
  10. Lomi, A., & Cacciaguerra, S. (2003). Decision Chemistry Part II: The Emergence of Routines. [html]
  11. 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.
  12. Manhart, K. (2003). Schildkrštenwelten - Multi-Agenten-Simulationen mit NetLogo und StarLogo. C'T, 2003(25), 232-237.
  13. 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.

2002

  1. 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.
  2. Fazio, C., Sperandeo-Mineo, R. M., & Tarantino, G. (2002). Mathematical representation of real systems: Two modelling environments involving different learning strategies. [pdf]
  3. Gilbert, N. (2002). Varieties of Emergence. Paper presented at the Agent 2002 Conference on Social Agents. [pdf]
  4. North, M., & Burkhart, R.M. (2002). Agent-Based Methods, Toolkits, and Techniques. Paper presented at the Agent 2002 Conference on Social Agents. [pdf]

2001

  1. Kahn, K. (2001). ToonTalk and Logo. Paper presented at Eurologo 2001. [pdf]
  2. Neuwirth, E. (2001). Turtle Ballet: Simulating Parallel Turtles in a Nonparallel LOGO Version. Paper presented at the Eurologo 2001. [rtf]