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.
This paper introduces the rationale, explains the functioning, and describes the process of developing ‘Equidistant Probability’, a NetLogo microworld that models stochastic behavior. In particular, we detail the phases in attempting to choose suitable parameters and create such graph displays as will permit an observer to witness the incremental growth of a bell-shaped curve.

Agar M. (2003). My Kingdom for a Function: Modelling Misadventures of the Innumerate // Journal of Artificial Societies and Social Simulation, 6(3).

Aksyonov K.A., Klebanov B., Hrenov A. Computer-aided design system of simulation business process model // Proceedings of the 4th IMACS Symposium on Mathematical Modeling, ARGESIM Report no. 24. Austria, Vieena University of Technology. 2003. p.1414-1420

Osman Balci Verification, Validation, and Certification of Modeling and Simulation Applications // In Proceedings of the 2003 Winter Simulation Conference (New Orleans, LA, Dec. 7-10). IEEE, Piscataway, NJ, 2003. pp. 150-158.

Bapat V., Sturrock D.T. The arena product family: Enterprise modeling solutions // Processing of the Winter Simulation Conference (7–10 Dec. 2003, New Orleans) / Ed. by S. Chick, P.J. S´anchez, D. Ferrin, D.J. Morrice. / Piscataway (New Jersey): Inst. of Electric. and Electron. Engrs, 2003, p. 210–217.

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.
In this paper, we explore an architecture, called K-Trek, that enables mobile users to travel across knowledge distributed over a large geographical area (ranging from large public buildings to a national park). Our aim is providing, distributing, and enriching the environment with location-sensitive information for use by agents on board of mobile and static devices.

Degtiarev O.V., Egorova V.P. Regulated Air Traffic Flow Simulation Tool // 16th IFAC Symposium on Automatic Control in Aerospace, Sankt-Peterburg, 2003.

Driscoll M.P. (2003). How people learn (and what technology might have to do with It) // ERIC Digest.

Edward J. Williams, Ali Gunal. Supply Chain Simulation and Analysis with SimFlex // Proceedings of the 2003 Winter Simulation Conference, p. 231-237.

Emrullah Demirci Simulation Modelling and Analysis of a Port Investment // SIMULATION, Vol. 79, Issue 2, February 2003 94-105.
Due to their complex functions and dynamics, ports have a complex structure. Complex structures are investigated through simulation techniques instead of analytical methods. Simulation of port systems can be carried out for different goals such as port design, planning, capacity increase, and productivity. In this study, bottleneck points were investigated under overloading conditions. Based on the results generated through simulation experiments, it was determined that the most critical bottleneck points are created by loading/unloading vehicles. An investment strategy was applied to the model at this point for load balancing of the port. As a result, simulation was used to study improvements by adding resources within economic limitations.

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.

Fell A. (2003). A Study of Modeling Crowd Dynamics // Final year project in Computer Science, Carleton University.
The following paper considers the field of Crowd Dynamics, and also the modeling thereof. This discipline has been becoming increasingly important in recent years and concerns itself with the propagation of pedestrian traffic in dense quarters. By considering such traffic flow a number of unique features and patterns can be discerned. Studied will be the current ‘state of the art’, and a modeling project based on one of the cited papers will be constructed and considered in further depth.

Fujimoto R.M. Distributed simulation systems // Processing of the Winter Simulation Conference (7–10 Dec. 2003, New Orleans) / Ed. by S. Chick, P.J. S´anchez, D. Ferrin, D.J. Morrice. / Piscataway (New Jersey): Inst. of Electric. and Electron. Engrs, 2003, p. 124–134.

Gary W. Godding, Hessam S. Sarjoughian, Karl G. Kempf. Semiconductor Supply Network Simulation // Proceedings of the 2003 Winter Simulation Conference, p. 1593-1601.

Giaglis G.M., Paul R.G., Okeefe R.M. Discrete simulation for business simulation. – Berlin: Springer – Verlag, 2003. – pp. 324-329.

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.

Goldstone R. (2003). Complex Adaptive Systems // psychology course at Indiana University. Spring 2003.

Gotts N.M., Pol hill J.G., Law A.NR. Agent-Based Simulation in the Study of Social Dilemmas // Artificial Intelligence Review. – 2003. – Vol. 19. – Issue 1. – P. 3–92.

Grebel T., Pyka А. Agent-based modeling - A methodology for the analysis of qualitative development processes. // Discussion Paper Series 251: Universitaet Augsburg, Institute for Economics. – 2003.

Greenwald A. Guest Editors’ Introduction: Agents and Markets / A. Greenwald, N. Jennings, P. Stone // Intelligent Systems. 2003. Vol.18. p. 12–14.

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.

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.
Kline, G. (2003). Campers at UI have fun, G.A.M.E.S. News-Gazette // August 23, 2003.

Konyukh V., Mikhailishin A. Simulation of underground transport network // Proc. of the International Carpathian Control Conference (ICCC’2003), Koshice, May 2003.

Korman M.J. (2003). LiveLetters: Writing with Emergence.

Krahl D. Extend: An interactive simulation tool // Processing of the Winter Simulation Conference (7–10 Dec. 2003, New Orleans) / Ed. by S. Chick, P.J. S´anchez, D. Ferrin, D.J. Morrice. / Piscataway (New Jersey): Inst. of Electric and Electron. Engrs, 2003, p. 188–196.

Law A. (2003). How to conduct a successful simulation study. In: Proceedings of the Winter Simulation Conference, pp. 66-70.

Liljenstam M., Nicol D.M., Berk V.H., Gray R.S. Simulating Realistic Network Worm Traffic for Worm Warning System Design and Testing // Proceedings of the 2003 Workshop on Rapid Malcode (WORM), October 27, 2003, Washington, DC, USA, p. 60–70.

Loke, S.W. and Zaslavsky, A., 2003. Mobile Agent Supported Cooperative Work: The ITAG scripting language approach. In Agent Supported Cooperative Work. pp 205 - 229, Kluwer Academic Publishers.

Lomi A., Cacciaguerra S. (2003). Decision Chemistry Part II: The Emergence of Routines.

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.

Malay A. Dalal, Henry Bell, Mike Denzien, Michael P. Keller. Initializing a Distribution Supply Chain Simulation with Live Data // Proceedings of the 2003 Winter Simulation Conference, pp. 1621-1626.

Manhart K. (2003). Schildkrštenwelten - Multi-Agenten-Simulationen mit NetLogo und StarLogo // C'T, 2003(25), pp.232-237.

Manuel D. Rossetti, Hin-Tat Chan. A Prototype Object-Oriented Supply Chain Simulation Framework // Proceedings of the 2003 Winter Simulation Conference, pp. 1612-1620.

Martin Carla, Urquia Alfonso and Dormido Sebastian. SPJCELib – Modeling & Analysis of Electric Circuits with Modelica // Proceedings of the 3rd International Modelica Conference, Linköping, November 3-4, 2003, Peter Fritzson (editor). P.161-170.

Mehrotra V., Fama J. (2003). Call center simulation modeling: methods, challenges, and opportunities. In: Proceedings of the Winter Simulation Conference, pp. 135-143.

Nordgren W.B. Flexsim simulation environment // Processing of the Winter Simulation Conference (7–10 Dec. 2003, New Orleans) / Ed. by S. Chick, P.J. S´anchez, D. Ferrin, D.J. Morrice. / Piscataway (New Jersey): Inst. of Electric and Electron. Engrs, 2003, p. 197–200.

Okol'nishnikov V.V. Simulation on parallel and distributed systems // Пятая международная конференция памяти академика А.П. Ершова "Перспективы систем информатики (PSI 03)". Рабочий семинар "Наукоемкое программное обеспечение". Доклады и тезисы. Новосибирск, 2003. c. 30–32.

Ozturk O. (2003). Conceptualization, Design and implementation of a static capacity model. In: Proceedings of the Winter Simulation Conference, pp. 1774-1785.

Victor Okol'nishnikov, Sergey Rudometov. Development of distributed simulation system // Lecture Notes Comput. Sci. — V. 2763. — Berlin: Springer, 2003. — p. 524–527.

Rudometov S.V., Okolnishnikov V.V. Development of Distributed Simulation System // Proc of the Seventh International Conference «Parallel Computing Technologies (PaCT-2003)», Nizhni Novgorod, Russia, 2003, p.524–527.

Schieritz N., Milling P. Modeling the Forest or Modeling the Trees – A Comparison of System Dynamics and Agent-Based Simulation // The 21st International Conference of the System Dynamics Society. New York, USA. – 2003.

Schieritz Nadine, Milling Peter. Modeling the Forest or Modeling the Trees – A Comparison of System Dynamics and Agent-Based Simulation // The 21st International Conference of the System Dynamics Society, New York, USA, 2003.

Schieritz Nadine, Grosler Andreas. Emergent Structures in Supply Chains – A Study Integrating Agent-Based and System Dynamics Modeling // The 36th Annual Hawaii International Conference on System Sciences, Washington, USA, 2003.

Shamsuddin Ahmed Car registration simulation model in GCC country // IACIS 2003. P.357-366.
Car registration and inspection simulation experiment to analyze business functions of the traffic department in Al-Ain city in United Arab Emirates is reported. The car registration is managed by a government organization in association with a private network service company that looks after the inspection service. A visual AweSim car registration simulation model is developed from workflow viewpoint. The study reports generalized results to evaluate the service performances. The AweSim model provides information about queuing analysis, service activity utilization and processing time. Results derived from the simulation model helps to develop decision support system. It is seen that approximately 269 minutes in average are needed to complete the car registration steps. In any given day there would be about 29 cars waiting for the services to go through.

Andrew J. Siprelle, David J. Parsons, Robin J. Clark. Benefits of Using a Supply Chain Simulation Tool to Study Inventory Allocation // Proceedings of the 2003 Winter Simulation Conference, p. 238-245.

Vittikh V.A. Skobelev P.O. Multiagent Interaction Models for Constructing the Needs-and-Means Networks in Open Systems. Automation and Remote Control / V. A. Vittikh, Vol. 64, 2003, pp. 162–169.

Stieff M., Wilensky U. (2003). Connected Chemistry - incorporating interactive simulations into the chemistry classroom// Journal of Science Education and Technology, 12(3), pp.285-302.

Surya Dev Pathak, David M. Dilts, Gautam Biswas. A Multi-Paradigm Simulator for Simulating Complex Adaptive Supply Chain Networks // Proceedings of the 2003 Winter Simulation Conference, p. 808-816.

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, pp.1564-1571.

Wagner A., Dubendorfer T., Plattner B., Hiestand R. Experiences with worm propagation simulations // Proceedings of ACM CCS Workshop on Rapid Malcode (WORM'03), 2003, p. 34–41.

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).
In the Connected Learning projects, we are studying students’ learning of content through exploring and constructing computer-based models of that content. This paper presents a case study of a high school physics teacher’s design and exploration of a computer-based model of gas molecules in a box.

Wilensky U., Shapiro B. (2003). Networked Participatory Simulations: Classroom Collaboration in Exploring the Dynamics of Complex Systems // Proceedings of the International Conference of the Learning Sciences, Oslo, Norway.

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.

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).

Yusupov R.M., Sokolov B.V. Information Fusion Models’ Quality Estimation and Models’ Quality Control Theory // VI ISTC Scientific Advisory Committee Seminar “Science and Computing”, Moscow, Russia, September 15-17 2003, Proceedings, Vol. 2. / ISTC. – Moscow, 2003.