Advertisement

Abstract

This paper describes preliminary work performed to gain an understanding of how to implement collaboration between intelligent agents in a multi-agent system and/or humans. The paper builds on previous research where an agent-development software framework was implemented based on a cognitive hybrid reasoning and learning model. Agent relationships are formed using a three-layer process involving communication, negotiation and trust. Cooperation is a type of relationship that is evident within structured teams when an agent is required to cooperate with and explicitly trust instructions and information received from controlling agents. Collaboration involves the creation of temporary relationships between different agents and/or humans that allows each member to achieve their own goals. Due to the inherent physical separation between humans and agents, the concept of collaboration has been identified as the means of realizing human-agent teams. A preliminary demonstration used to confirm this research is also presented.

Keywords

Agent Cooperation Cooperation Role Agent Team Agent Collaboration Unreal Tournament 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Bratman, M.E.: Intention, Plans, and Practical Reason. Center for the Study of Language and Information (1999)Google Scholar
  2. 2.
    Rao, A., Georgeff, M.: Bdi agents: from theory to practice. In: Proceedings for the 1st International Conference on Multi-Agent Systems (ICMAS 1995), pp. 312–319. AAAI Press, California (1995)Google Scholar
  3. 3.
    Urlings, P.: Teaming Human and Machine. PhD thesis, School of Electrical and Information Engineering, University of South Australia (2003)Google Scholar
  4. 4.
    Cheyer, A., Martin, D.: The open agent architecture. Journal of Autonomous Agents and Multi-Agent Systems 4, 143–148 (2001)CrossRefGoogle Scholar
  5. 5.
    Lange, D.B.: Java aglet application programming interface (j-aapi) white paper - draft 2. Technical report, IBM Tokyo Research Laboratory (1997)Google Scholar
  6. 6.
    SwarmDevelopmentGroup: Documentation set for swarm 2.2. (2006), [Online Accessed: 19 April 2006] http://www.swarm.org/swarmdocs-2.2/set/set.html
  7. 7.
    Ferber, J., Gutkecht, O., Michel, F.: Madkit development guide. [Online accessed: 19 April 2006] (2006), http://www.madkit.org/madkit/doc/devguide/devguide.html
  8. 8.
    AgentOrientedSoftware: Jack intelligent agents teams manual (2006) [Online, accessed 19 April 2006] http://www.agent-software.com.au/shared/resources/index.html
  9. 9.
    Tweedale, J., Cutler, F.: Human-computer trust in multi-agent systems. In: Proceedings of the 10th International Conference on Knowledge Based Intelligent Information and Engineering Systems (KES 2006), October 9-11, Bournemouth, England (accepted, 2006)Google Scholar
  10. 10.
    Jarvis, B., Corbett, D., Jain, L.C.: Beyond trust: A belief-desire-intention model of confidence. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) Proceedings of the 9th International Conference on Knowledge Based Intelligent Information and Engineering Systems (KES 2005). LNCS (LNAI), vol. 2, pp. 844–850. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  11. 11.
    Sioutis, C., Ichalkaranje, N.: Cognitive hybrid reasoning intelligent agent system. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) Proceedings of the 9th International Conference on Knowledge Based Intelligent Information and Engineering Systems (KES 2005). LNCS (LNAI), vol. 2, pp. 838–843. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  12. 12.
    Sioutis, C.: Reasoning and Learning for Intelligent Agents. PhD thesis, School of Electrical and Information Engineering, University of South Australia (2006)Google Scholar
  13. 13.
    Hammond, G.T.: The Mind of War: John Boyd and American Security. Smithsonian Institution Press, Washington (2004)Google Scholar
  14. 14.
    Rasmussen, J., Pejtersen, A., Goodstein, L.: Cognitive Systems Engineering. Wiley and Sons, New York (1994)Google Scholar
  15. 15.
    Sioutis, C., Ichalkaranje, N., Jain, L.: A framework for interfacing bdi agents to a real-time simulated environment. In: Abraham, A., Koppen, M., Franke, K. (eds.) Design and Application of Hybrid Intelligent Systems. Frontiers in Artificial Intelligence and Applications, pp. 743–748. IOS Press, Amsterdam (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Christos Sioutis
    • 1
  • Jeffrey Tweedale
    • 1
  1. 1.Air Operations DivisionDefence Science and Technology OrganisationEdingurghAustralia

Personalised recommendations