Advertisement

Participatory Simulation Platform Using Network Games

  • Shoichi Sawada
  • Hiromitsu Hattori
  • Marika Odagaki
  • Kengo Nakajima
  • Toru Ishida
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5357)

Abstract

In this paper, we develop a novel participatory simulation platform, called gumonji/Q, by integrating scenario description language Q and network game gumonji. In a participatory simulation, humans and software-agents coexist in a shared virtual space and jointly perform simulations. To observe practical behaviors of humans, a participatory simulation platform must be able to provide reasonable simulated experience for humans to let them behave as they do in the real-world. gumonji/Q makes it possible to design diverse interaction protocols based on Q’s scenario description ability. Under the “game-quality” graphics provided by gumonji, humans and agents can interact with their surrounding environment, which means they can affect the environment and receive feedback from the environment. Since gumonji/Q inherits gumonji’s features as a network game, users are more enticed to participate in simulations since simulations on gumonji/Q seems more enjoyable than normal simulations. We show an example of how to obtain human behavior models through a simulation on gumonji/Q.

Keywords

Multiagent Simulation Participatory Modeling Participatory Simulation Gaming Networked Simulator 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Axelrod, R.: Advancing the art of simulation in the social sciences. Complex 3, 16–22 (1997)CrossRefzbMATHGoogle Scholar
  2. 2.
    Drogoul, A., Ferber, J.: Multi-agent simulation as a tool for modeling societies: Application to social differentiation in ant colonies. In: Castelfranchi, C., Werner, E. (eds.) MAAMAW 1992. LNCS, vol. 830, pp. 3–23. Springer, Heidelberg (1994)CrossRefGoogle Scholar
  3. 3.
    Murakami, Y., Sugimoto, Y., Ishida, T.: Modeling human behavior for virtual training systems. In: Proceedings of the 20th National Conference on Artificial Intelligence (AAAI 2005), pp. 127–132 (2005)Google Scholar
  4. 4.
    Gilbert, N., Maltby, S., Asakawa, T.: Participatory simulations for developing scenarios in environmental resource management. In: Third workshop on agent-based simulation, pp. 67–72 (2002)Google Scholar
  5. 5.
    Torii, D., Ishida, T., Bousquet, F.: Modeling agents and interactions in agricultural economics. In: Proceedings of the 5th International Joint Conference on Autonomous A0gents and Multiagent Systems (AAMAS 2006), pp. 81–88 (2006)Google Scholar
  6. 6.
    Colella, V., Borovoy, R., Resnick, M.: Participatory simulations: using computational objects to learn about dynamic systems. In: CHI 1998: CHI 1998 conference summary on Human factors in computing systems, pp. 9–10 (1998)Google Scholar
  7. 7.
    Ishida, T.: Q: A scenario description language for interactive agents. Computer 35, 42–47 (2002)CrossRefGoogle Scholar
  8. 8.
    Nakanishi, H., Ishida, T.: Freewalk/q: social interaction platform in virtual space. In: VRST 2004: Proceedings of the ACM symposium on Virtual reality software and technology, pp. 97–104 (2004)Google Scholar
  9. 9.
    Bousquet, F., Bakam, I., Proton, H., Page, C.L.: Cormas: Common-pool resources and multi-agent systems. In: IEA/AIE 1998: Proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial In telligence and Expert Systems, pp. 826–837 (1998)Google Scholar
  10. 10.
    Murakami, Y., Ishida, T., Kawasoe, T., Hishiyama, R.: Scenario description for multi-agent simulation. In: AAMAS 2003: Proceedings of the second international joint conference on Autonomous agents and multiagent systems, pp. 369–376 (2003)Google Scholar
  11. 11.
    Nakanishi, H., Nakazawa, S., Ishida, T., Takanashi, K., Isbister, K.: Can software agents influence human relations?: balance theory in agent-mediated communities. In: AAMAS 2003: Proceedings of the second international joint conference on Autonomous agents and multiagent systems, pp. 717–724 (2003)Google Scholar
  12. 12.
    Ishida, T.: Society-Centered Design for Socially Embedded Multiagent Systems. In: Klusch, M., Ossowski, S., Kashyap, V., Unland, R. (eds.) CIA 2004. LNCS, vol. 3191, pp. 16–29. Springer, Heidelberg (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Shoichi Sawada
    • 1
  • Hiromitsu Hattori
    • 1
  • Marika Odagaki
    • 2
  • Kengo Nakajima
    • 2
  • Toru Ishida
    • 1
  1. 1.Graduate School of InformaticsKyoto UniversityKyotoJapan
  2. 2.Community Engine Inc.TokyoJapan

Personalised recommendations