Abstract
We show that certain desired behavioural properties of agent-based models can be deterministically induced by an appropriate mathematical structure. We also point out problems related to the handling of parameters, and of the modelling of time, in agent-based models. Our purpose is to illustrate some problems of agent-based social simulations in markets, as a first step towards the more ambitious goal of providing a methodology for such simulations.
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References
Axelrod, R. (1997). “Advancing the Art of Simulation in the Social Sciences.” In R. Conte, R. Hegselmann, and P. Terna (eds.), Simulating Social Phenomena. Springer-Verlag, pp. 21–40.
Axtell, R. (1999). “Varieties of Agent-Based Computational Models in the Social Sciences.” In Workshop on Agent Simulation, University of Chicago.
Bak, P. and K. Sneppen. (1993). “Punctuated Equilibrium and Criticality in a Simple Model of Evolution.” Physical Review Letters 71(24), 4083–4086.
Bakos, Y. (1998). “The Emerging Role of Electronic Marketplaces on the Internet.” Communications of the ACM 41(8), 35–42.
Bertels, K. and M. Boman. (1999). “Why we Need a COMA in Agent Based Social Simulation.” Presented at the AgentLink SIG Meeting on Agent-Mediated Electronic Commerce. Paper available upon request.
Bertels, K., J.-M. Jacques, and M. Boman. (2000). “Implications of Self-Organised Criticality and Resilience Measures to Risk and Crises Management.” Presented at the FRN Workshop on Systems Shocks-Systems Resilience, Abisko, Sweden.
Bertels, K., L. Neuberg, S. Vassiliadis, and G. Pechanek (to appear). “Chaos and Neural Networks: The Backpropagation Paradigm.” Artificial Intelligence Review.
Boman, M. (1999). “Agent Programming in RoboCup '99.” AgentLink Newsletter 1(4), 20–22.
Cesta, A., M. Miceli, and P. Rizzo. (1996). “Help Under Risky Conditions: Robustness of the Social Attitude and System Performance.” In M. Tokoro (ed.), Proc ICMAS'96, pp. 18–25.
Conte, R. and C. Castelfranchi. (1995). Cognitive and Social Action. UCL Press.
Coradeschi, S., T. Balch, G. Kraetzschmar, and P. Stone (eds.). (1999). RoboCup99 Team Descriptions: Simulation League. Linköping Univ. Electronic Press.
Drogoul, A. and A. Collinot. (1998). “Applying an Agent-Oriented Methodology to the Design of Artificial Organizations: A Case Study in Robotic Soccer.” Autonomous Agents and Multi-Agent Systems 1(1), 113–129.
Ekenberg, L., M. Danielson, and M. Boman. (1996). “From Local Assessments to Global Rationality.” Intelligent Cooperative Information Systems 5(2–3), 315–331.
Epstein, J.M. and R. Axtell. (1996). Growing Artificial Societies. Brookings Institution Press and the MIT Press.
Gladwell, M. (1996). “The Tipping Point.” New Yorker, June 3.
Goldstein, J. (1999). “Emergence as a Construct: History and Issues.” Emergence 1(1), 49–72.
Huberman, B.A. and N.S. Glance. (1993). “Evolutionary Games and Computer Simulations.” Proc. National Academy of Sciences USA, pp. 7716–7718.
Lomborg, B. (1994). “Game Theory vs. Multiple Agents: The Iterated Prisoner's Dilemma.” In C. Castelfranchi and E. Werner (eds.), Artificial Social Systems, Lecture Notes in Artificial Intelligence, Vol. 830. Springer-Verlag, pp. 69–93.
Lorenz, H. (1989). Nonlinear Dynamical Economics and Chaotic Motion. Springer-Verlag.
Mas-Colell, A., M.D. Whinston, and J.R. Green. (1995). Microeconomic Theory. Oxford Univ. Press.
Nadal, J.-P., G. Weisbuch, O. Chenevez, and A. Kirman. (1998). “A Formal Approach to Market Organization: Choice Functions, Mean Field Approximation and Maximum Entropy Principle.” In J. Lesourne and A. Orlean (eds.), Advances in Self-Organization and Evolutionary Economics. Economica, pp. 149–159.
Newell, A. (1990). Unified Theories of Cognition. Harvard Univ. Press.
Noda, I., S. Suzuki, H. Matsubara, M. Asada, and H. Kitano. (1997). “Overview of RoboCup-97.” In H. Kitano (ed.), RoboCup-97: Robot Soccer World Cup I, Lecture Notes in Artificial Intelligence, Vol. 1395. Springer Verlag, pp. 20–41.
Rasmussen, S. and Ch. Barrett. (1995). “Elements of a Theory of Simulation.” Technical Report 95–04–040, Santa Fe Institute.
Schelling, T.C. (1998). “Social Mechanisms and Social Dynamics.” In P. Hedström and R. Swedberg (eds.), Social Mechanisms. Cambridge Univ. Press, pp. 32–44.
Sen, A. (1986). “Social Choice Theory.” In K.J. Arrow and M.D. Intriligator (eds.), Handbook of Mathematical Economics, Vol. III, Chapter 22. Elsevier.
Steels, L. (1990). “Cooperation Between Distributed Agents Through Self-Organisation.” In Y. Demazeau and J.-P. Müller (eds.), Decentralized AI. Elsevier Science, pp. 175–196.
Steiglitz, K., M.L. Honig, and L.M. Cohen. (1996). “A Computational Market Model Based on Individual Action.” In S.H. Clearwater (ed.), Market-Based Control, Chapter 1. World Scientific.
Truex, D.P., R. Baskerville, and H. Klein. (1999). “Growing Systems in Emergent Organizations.” Communications of the ACM 42(8), 117–123.
Wellman, M.P. (1993). “A Market-Oriented Programming Environment and Its Application to Distributed Multicommodity Flow Problems.” Journal of Artificial Intelligence Research 1, 1–23.
Zeeman, E.C. (1982). “Bifurcation and Catastrophe Theory.” Contemporary Mathematics 9, 207–272. Notes by C. Glenton.
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Bertels, K., Boman, M. Agent-Based Social Simulation in Markets. Electronic Commerce Research 1, 149–158 (2001). https://doi.org/10.1023/A:1011531814366
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DOI: https://doi.org/10.1023/A:1011531814366