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.

Abrahamson D., Wilensky U. (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.

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.

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.

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.
This paper takes the narrative form of first presenting three different interpretations of a simulated probabilistic phenomenon authored in the NetLogo modeling and simulation language (Wilensky, 1999) as part of design research carried out at CCL (The Center for Connected Learning and Computer-Based Modeling) at Northwestern University.

Achorn E. (2004). Integrating Agent-Based Models with Quantitative and Qualitative Research Methods.

Agar M. (2004). Agents in Living Color: Towards Emic Agent-Based Models // Journal of Artificial Societies and Social Simulation (JASSS), 8 (1): 4.

Agar M. (2004). An Anthropological Problem, A Complex Solution // Human Organization, 63(4), pp.411-418.

Akopov A.S. (2004) Support for Decision-Making for Upstream Enterprises with Dynamic Simulation Models Help // Control Systems and Information Technology, Vol. 4(16), pp.50–55.

Akopov A.S. (2004) Using of Dynamic Simulation Models for Decision-Making Support in Oil and Gas Industry // Control Systems and Information Technology, Vol. 2(14), p. 72–79.

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.

Baesler F., Araya E., Ramis F., Sepulveda J. (2004). The use of simulation and design of experiments for productivity improvement in the Sawmill industry. In: Proceedings of the Winter Simulation Conference, pp. 1218-1221.

Osman Balci Quality Assessment, Verification, and Validation of Modeling and Simulation Applications // In Proceedings of the 2004 Winter Simulation Conference (Washington, DC, Dec. 5-8). IEEE, Piscataway, NJ, 2004. pp. 122-129.

Barry P., Koehler M. (2004). Simulation in context; using data farming for decision support // Simulation Conference, 2004. Proceedings of the 2004 Winter, 1.

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.

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.

Bobashev Georgiy, Zule William, Root Elizabeth, Wechsberg Wendee, Borshchev Andrei, Filippov Alexei. Scalable Mathematical Models for Substance Use: From Social Networks to the Whole Populations // The College on Problems of Drug Dependence 66th Annual Meeting, San Juan, Puerto Rico, 2004.

Born, R.G., and I. Ståhl, 2004. WEBGPSS: the first two hours of simulation education, In Proceedings of the 2004 Winter Simulation Conference, eds. M. D. Rossetti, J. S. Smith, and B. A. Peters R .G. Ingalls, 2066-2074. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.

Borshchev A. and Filippov A. (2004) From System Dynamics and Discrete Event to Practical Agent Based Modeling: Reasons, Techniques, and Tools. 22nd International Conference of the System Dynamics Society, July 2004. P.959-966.

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.

Bryson J. (2004). Action Selection and Individuation in Agent Based Modelling // April 26, 2004.
This paper is a tutorial on action selection for Agent-Based Modelling. Having a clear idea of how you are organizing your agent’s intelligence will make your code cleaner and easier to maintain, and your models easier to communicate to others. This paper describes four means of orgainizing agent action selection in increasing order of complexity These are: environmental determinism, finite state machines, basic reactive plans, and Parallel-rooted, Ordered, Slipstack Hierarchical reactive plans.

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.
This paper describes part of a project called Modeling Across the Curriculum which is a large scale research study in 15 schools across the United States. The specific data presented and discussed here in this paper is based on BioLogica, a hypermodel, interactive environment for learning genetics, which was implemented in multiple classes in eight high schools.

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.
We have designed and developed a software architecture able to support the execution of agent-based participatory simulation activities, and to render them in a 3D virtual world over wireless devices. We report on several experiments, gathered on the field, showing that the architecture we have developed is able to render, in a timely fashion, on a wireless device, the results of cooperative simulation activities performed by agent-based programming platforms.

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), pp.415-421.

Densmore O. (2004). NetLogo 2.0: Graphs, Nodes, and Edges Oh My! // January 12, 2004, O'Reilly.com.

Hongwei Ding, Lyes Benyoucef, Xiaolan Xie, Carl Hans, Jens Schumacher. «ONE» a New Tool for Supply Chain Network Optimization and Simulation // Proceedings of the 2004 Winter Simulation Conference, p. 1404-1411.

Friedman D., Abraham R. (2004). Landscape Dynamics and Conspicuous Consumption // Paper presented at the 2004 Proceedings of the Society for Dynamic Games.

Goldstone R.L. (2004). The complex systems see-change in education // Journal of the Learning Sciences, 15 (1), pp. 35-43.

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.

Henein C.M., White T. (2004). Agent-based modelling of forces in crowds // In Lecture Notes in Computer Science Vol. 3415, 2005.

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.

Janković Radomir. Computer simulation of ammunition consumption until the first hit in a sudden two-tank conflict // Журнал «Vojnotehnički glasnik», выпуск № 3-4, том 52, 2004 год. С.321-330.
The subject of the paper is computer simulation of ammunition consumption until the first hit in a sudden two-tank conflict. The first hit is important because it is often decisive in a two-tank conflict issue. The tanks are armed with different main weapons, one of which is a guided antiarmour missile, and the other is a classic gun which fires armour piercing rounds. The sudden conflict of tanks has been defined, starting assumptions have been given and the simulation model has been presented by means of the graphic representation of the platforms moving, mathematical transforms and algorithmic description. The model has been implemented by means of the GPSS World simulation language. The results of 10 experiments have been analysed, with various initial distances of the tanks in conflict.

Keenan Philip, Paich Mark. Modeling General Motors and the North American Automobile Market // The 22nd International Conference of the System Dynamics Society, Oxford, Englan, 2004.

Kottonau J. (2006, based on 2004 paper). Simulation einer Ameisenstraße mit NetLogo // Lehrer-online.
Lamponi D. One dimensional and multiscale model for blood flow circulation. Pour l'obtention du grade de docteur es sciences. Ecole Polytechnique Federale De Lausanne. 2004.

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-Universitat.

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.
We propose a method to procedurally generate a familiar yet complex human artifact: the city. We are not trying to reproduce existing cities, but to generate artificial cities that are convincing and plausible by capturing developmental behavior. In addition, our results are meant to build upon themselves, such that they ought to look compelling at any point along the transition from village to metropolis.

Leemis (2004). Building credible input models. In: Proceedings of the Winter Simulation Conference, pp. 29-40.

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.

Miller J.H., Page S.E. (2004). The Standing Ovation Problem // Complexity 9(5), pp. 8-16.

Minson R., Theodoropoulos G.K. Distributing RePast Agent-Based Simulations with HLA // Concurrency and computation: practice and experience. 2004; 00:1–25.
This paper discusses the design and implementation of a system capable of harnessing the computational power of a distributed simulation infrastructure with the design efficiency of an agent-toolkit. The system permits integration, through an HLA federation, of multiple instances of the Java-based lightweight-agent simulation toolkit RePast. Our main contribution is in abstractly defining the engineering process necessary in creating such middleware, and in reporting on our experience in the specific case of the RePast toolkit.

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.

Ossowski S. et al. Multi-agent systems for decision support: a case study in the transportation management domain // Applied Artificial Intelligence. 2004. Vol. 18. P. 779-795.

Pristupa A.V., Zmeyev O.A. Design Patterns in Discrete Event Simulation // 8th Korea- Russia International Symposium on Science and Technology. PROCEEDINGS. KORUS. New York City, NY: IEEE, 2004. Vol. l. P. 141-144.

Prodromou T. (2004). Distribution as emergent phenomena // Proceedings of the British Society for Research into Learning Mathematics, 24(1), pp.49-54.
In this paper I present the background and intentions that have shaped the design of a microworld to study students’ understanding of probability distributions. The outcome of this paper is the microworld design itself.

Riley G.F., Sharif M.I., Lee W. Simulating Internet Worms // 12th IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS’04), Oct. 2004, p. 268–274.

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.

Saraph P. (2004). Future of Simulation in Biotechnology Industry. In: Proceedings of the Winter Simulation Conference, pp. 2052-2054.

Sarker B.R., Jfitzsimmons A. The performance of push and pull systems: a simulation and comparative study // International Journal of Production Research. 1989.Vol. 27, is. 10. P. 1715-1731.

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.

Schriber Thomas J. and Brunner Daniel T. (2004). Inside discrete-event simulation software: how it works and why it matters. In: Proceedings of the 36th conference on Winter simulation (WSC ‘04). Winter Simulation Conference, pp. 142-152.

Shigeki Umeda, Y. Tina Lee. Design Specifications of a Generic Supply Chain Simulator // Proceedings of the 2004 Winter Simulation Conference, p. 1158-1166.

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).
The paper presents a study on utilising Thomas Schelling’s model, to perform topology adaptation in unstructured decentralised P2P networks. Schelling’s model suggests an explanation for the existence of segregated neighbourhoods in America. The paper uses an abstract version of Schelling’s algorithm. A simulator to study different variations of Schelling’s model has been implemented. The paper presents a case study demonstrating how the abstract algorithm can be used to improve bandwidth usage in P2P networks.

Sokolov B.V. Dynamic models of comprehensive scheduling for ground-based facilities communication with navigation spacecrafts // 16th IFAC Symposium on Automatic Control in Aerospace, June14-18, 2004, Saint-Petersburg, Russia, Preprints, V. 1.

Sokolov B.V. Models and methods for flexible reassignment of control functions in man-machine systems // 9th International Conference Speech and Computer (SPECOM’ 2004), 20-22 September, 2004, Saint-Petersburg, Russia, Proceedings.

Solberg J. (2004). Assemble time for self-assembling square tiles // Project for MECH 448.

Solo Kirk, Paich Mark. A Modern Simulation Approach for Pharmaceutical Portfolio Management // International Conference on Health Sciences Simulation (ICHSS'04), San Diego, California, USA, 2004.

Surya Dev Pathak, David M Dilts, Gautam Biswas. Simulating Growth Dynamics in Complex Adaptive Supply Networks. Proceedings of the 2004 Winter Simulation Conference, pp. 774-781.

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.

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).
NetLogo is a multi-agent programming language and modeling environment for simulating complex phenomena. It is designed for both research and education and is used across a wide range of disciplines and education levels. In this paper, though, we focus on NetLogo as a tool for research and for teaching at the undergraduate level and higher. We outline the principles behind our design and describe recent and planned enhancements.

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.

Tolujew, J., Alcalá, F. A Mesoscopic approach to modelling and simulation of pedestrian traffic flows // 18th European Simulation Multiconference, Horton G. (Ed.), SCS International, Ghent, 2004, pp. 123-128.

Vag A. (2004). First generation multi-agent models and their upgrades // Interdisciplinary Description of Complex Systems, 2(1), pp.95-103.

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.
We describe the lessons learned from using various technologies as aids in teaching a graduate multiagent systems class. The class has been offered six times over the last five years. The technologies described are RoboCup (along with our Biter and SoccerBeans tools), NetLogo, JADE, and FIPA-OS.

Vieira, G.E. 2004. Ideas for modeling and simulation of supply chains with Arena. In Proceedings of the 2004 Winter Simulation Conference, ed. R .G. Ingalls, M. D. Rossetti, J. S. Smith, and B. A. Peters, 1418-1427. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.

Wallis Lyle, Paich Mark, Borshchev Andrei. Agent Modeling of Hispanic Population Acculturation and Behavior // The 3rd International Conference on Systems Thinking in Management (ICSTM 2004), Philadelphia, Pennsylvania, USA, 2004.

Winschel L., Kopf S. (2004). Entwicklung einer Borsensimulation mit der multiagentenbasierten Entwicklungsumgebung NetLogo // Universität Mannheim / Institut für Informatik.

Wokoma, I., Sacks, L., Marshall I. (2004). A Self-Organising Clustering Algorithm for Wireless Sensor Networks // University College, London.

Young M. Lee, Feng Cheng, Ying Tat Leung. Exploring the Impact of RFID on Supply Chain Dynamics // Proceedings of the 2004 Winter Simulation Conference, p. 1145-1152.