Multiple Society Organisations and Social Opacity: When Agents Play the Role of Observers

  • Nuno David
  • Jaime Simão Sichman
  • Helder Coelho
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2507)

Abstract

Organisational models in MAS usually position agents as plain actors-observers within environments shared by multiple agents and organisational structures at different levels of granularity. In this article, we propose that the agents’ capacity to observe environments with heterogeneous models of other agents and societies can be enhanced if agents are positioned as socially opaque observers to other agents and organisational structures. To this end, we show that the delegation of the observation role to an artificial agent is facilitated with organisational models that circumscribe multiple opaque spaces of interaction at the same level of abstraction. In the context of the SimCog project [9], we exemplify how our model can be applied to artificial observation of multi-agent-based simulations.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Castelfranchi C, Simulating with Cognitive Agents: The Importance of Cognitive Emergence. In Sichman J.S. and Conte R. (eds), Multi-Agent Systems and Agent-Based Simulation, Springer Verlag, LNAI1534 [5], pp. 26–44, 1998.Google Scholar
  2. 2.
    David N., Sichman J.S. and Coelho H, Agent-Based Social Simulation with Coalitions in Social Reasoning. Multi-Agent-Based Simulation, Sp-Verlag, LNAI1979, p. 245–265, 2001.Google Scholar
  3. 3.
    Ferber J. and Gutknecht O., A Meta-model for the Analysis and Design of Organizations in MAS. Proc. of Int. Conf. in Multi-Agent Systems, IEEE Computer Society, 1998.Google Scholar
  4. 4.
    Ferber J., Reactive Distributed Artificial Intelligence: Principles and Applications. Foundations of DAI, G. O’ Hare and Jennings N., editors, 1996.Google Scholar
  5. 5.
    Gilbert N., Sichman J.S. and Conte R. (eds), Multi-Agent Systems and Agent-Based Simulation, Springer Verlag, LNAI1534, 1998.Google Scholar
  6. 6.
    Huhns M. and Stephens L.M., Multiagent Systems and Societies of Agents. Multi-Agent Systems — A Modern Approach to AI, Weiss G. (editor), MIT press, 79–114, 1999.Google Scholar
  7. 7.
    Norbert G. and Philippe M., The Reorganization of Societies of Autonomous Agents. Multi-Agent Rationality, Proc. of MAAMAW’97, Sp. Verlag, LNAI1237, pp. 98–111, 1997.Google Scholar
  8. 8.
    Servat D., Perrier E., Treuil J.P, and Drogoul A., When Agents Emerge from Agents: Introducing Scale Viewpoints in Multi-agent Simulations. In Sichman J.S. and Conte R. (eds), Multi-Agent Systems and Agent-Based Simulation, Springer Verlag, LNAI1534 [5], pp. 183–198, 1998.Google Scholar
  9. 9.
    SimCog, Simulation of Cognitive Agents. http://www.lti.pcs.usp.br/SimCog/.
  10. 10.
    Swarm, The Swarm Simulation System, http://www.swarm.org/.

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Nuno David
    • 1
    • 2
  • Jaime Simão Sichman
    • 2
  • Helder Coelho
    • 3
  1. 1.Department of Information Science and TechnologyISCTE/DCTILisbonPortugal
  2. 2.Intelligent Techniques LaboratoryUniversity of São PauloBrazil
  3. 3.Department of InformaticsUniversity of LisbonPortugal

Personalised recommendations