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Using emergence in participatory simulations to design multi-agent systems

Published:25 July 2005Publication History

ABSTRACT

In this paper, we present, through simulations of the coffee market of the state of Veracruz, how emergence of specialized roles in participatory simulations could be used to design and improve multi-agent systems.The design process of the participatory simulation followed the regular design process of multi-agent simulations: starting from a domain model of coalitions among coffee producers, we built a participatory simulation where humans take the control of agents. Special care was brought to make the simulations playable by humans and to favor the apparition of coalitions. Being controlled by humans, the agents of the initial model became completely pro-active and were able to exchange coffee and money and to form coalitions to fulfill the buyer's offers. Coalitions appeared as expected.Besides, during these experiments, we observed the emergence of specialized roles which were not included in the initial model. We implemented a regular multi-agent system based on the initial model to test the distributed system solving improvements brought by the roles that emerged.

References

  1. O. Barreteau. Our companion modelling approach. Journal of Artificial Societies and Social Simulation, 6(2), 2003.Google ScholarGoogle Scholar
  2. O. Barreteau, F. Bousquet, and J.-M. Attonaty. Role-playing games for opening the black box of multi-agent systems: method and lessons of its application to senegal river valley irrigated systems. Journal of Artificial Societies and Social Simulation, 4(2), 2001.Google ScholarGoogle Scholar
  3. F. Bousquet, I. Bakam, H. Proton, and C. Le Page. Cormas: Common-pool resources and multi-agent systems. In IEA/AIE '98: Proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems: Tasks and Methods in Applied Artificial Intelligence, volume 1416 of Lecture Notes in Computer Science, pages 826--837. Springer-Verlag, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. V. Colella, R. Borovoy, and M. Resnick. Participatory simulations: Using computational objects to learn about dynamic systems. In Proceedings of the Computer Human Interface (CHI) '98 conference, Los Angeles, Apr. 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. P. d'Aquino, C. Le Page, F. Bousquet, and A. Bah. Using self-designed role-playing games and a multi-agent system to empower a local decision-making process for land use management: The selfcormas experiment in senegal. Journal of Artificial Societies and Social Simulation, 6(3), 2003.Google ScholarGoogle Scholar
  6. A. Drogoul, T. Meurisse, and D. Vanberge. Multi-agent based simulations: Where are the agents? In J. S. Sichman, F. Bousquet, and P. Davidsson, editors, Multi-Agent-Based Simulation, Third International Workshop, MABS 2002, Bologna, Italy, July 15--16, 2002, Revised Papers, volume 2581 of Lecture Notes in Computer Science, pages 1--15. Springer, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. M. Etienne. Sylvopast: a multiple target role-playing game to assess negotiation processes in sylvopastoral management planning. Journal of Artificial Societies and Social Simulation, 6(2), 2003.Google ScholarGoogle Scholar
  8. M. Resnick and U. Wilensky. Diving into complexity: Developing probabilistic decentralized thinking through role-playing activities. Journal of Learning Sciences, 7(2), 1997.Google ScholarGoogle ScholarCross RefCross Ref
  9. R. G. Smith. The contract net protocol: High-level communication and control in a distributed problem solver. In IEEE Transaction on Computers, number 12 in C-29, pages 1104--1113, 1980.Google ScholarGoogle Scholar
  10. D. Vanbergue. Conception de simulation multi-agents: application à la simulation des migrations intra-urbaines de la ville de Bogota. PhD thesis, Université Paris VI, Dec. 2003.Google ScholarGoogle Scholar
  1. Using emergence in participatory simulations to design multi-agent systems

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      cover image ACM Conferences
      AAMAS '05: Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
      July 2005
      1407 pages
      ISBN:1595930930
      DOI:10.1145/1082473

      Copyright © 2005 ACM

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      Publication History

      • Published: 25 July 2005

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