Study of social consciousness in stochastic agent based simulations: application to supply chains
Pages 132 - 134
Abstract
Empirical game theory allows studying the strategic interactions of agents in simulations. Specifically, traditional game theory describes such interactions by an analytical model, while empirical game theory employs simulations. In this paper, we use empirical game theory to study how the more-or-less selfishness of agents affects their behaviour. To this end, we assume that every agent utility can be split in two parts, a first part representing the direct utility of agents and a second part representing agent social consciousness, i.e., their impact on the rest of the multiagent system. An application to supply chains illustrates this approach. In this application, the collaborative strategy is often used by every company-agent at whatever their same level of social consciousness, which may indicate that every agent is strongly related with one other.
References
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R. D. McKelvey, A. M. McLennan, and T. L. Turocy. Gambit: Software tools for game theory, version 0.97.0.4. 2004. http://econweb.tamu.edu/gambit/ (accessed 16 October 2004).
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T. Moyaux, B. Chaib-draa, and S. D'Amours. Experimental study of incentives for collaboration in the quebec wood supply game. IEEE Transactions on Engineering Management, 2006. (submitted).
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D. Simchi-Levi, P. Kaminsky, and E. Simchi-Levi. Designing and Managing the Supply Chain. McGraw-Hill Higher Education, 2000.
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W. E. Walsh, R. Das, G. Tesauro, and J. O. Kephart. Analyzing complex strategic interactions in multiagent systems. In Proc. workshop on Game Theoretic and Decision Theoretic agents, 2002.
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- Study of social consciousness in stochastic agent based simulations: application to supply chains
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Published In
May 2006
1631 pages
ISBN:1595933034
DOI:10.1145/1160633
- General Chairs:
- Hideyuki Nakashima,
- Michael Wellman,
- Program Chairs:
- Gerhard Weiss,
- Peter Stone
Copyright © 2006 ACM.
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- IFMAS: The International Foundation for Multiagent Systems
- SIGAI: ACM Special Interest Group on Artificial Intelligence
- ATAL: The International Workshop on Agent Theories, Architectures, and Languages
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 08 May 2006
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AAMAS06
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- IFMAS
- SIGAI
- ATAL
AAMAS06: AAMAS '06 - 5th International Joint Conference on Autonomous Agents and Multi-agent Systems 2006
May 8 - 12, 2006
Japan, Hakodate
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