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Behaviour Flexibility in Dynamic and Unpredictable Environments: The ICagent Approach

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Advances in Artificial Intelligence (SETN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3955))

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Abstract

Several agent frameworks have been proposed for developing intelligent software agents and multi-agent systems that are able to perform in dynamic environments. These frameworks and architectures exploit specific reasoning tasks (such as option selection, desire filtering, plan elaboration and means-end reasoning) that support agents to react, deliberate and/or interact/cooperate with other agents. Such reasoning tasks are realized by means of specific modules that agents may trigger according to circumstances, switching their behaviour between predefined discrete behavioural modes. This paper presents the facilities provided by the non-layered BDI-architecture of ICagent for supporting performance in dynamic and unpredictable multi-agent environments through efficient balancing between behavioural modes in a continuous space. This space is circumscribed by the purely (individual) reactive, the purely (individual) deliberative and the social deliberative behavioural modes.  In a greater extend than existing frameworks; ICagent relates agent’s flexible behaviour to cognition and sociability, supporting the management of plans constructed by the agent’s mental and domain actions in a coordinated manner.

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References

  1. Atkin, M., Westbrook, D., Cohen, P.: Capture the Flag: Military Simulation Meets Computer Games. In: AAAI Spring Symposium on AI and Computer Games (1999)

    Google Scholar 

  2. Burkhard, H., Hannebauer, M.: AT Humboldt - Development, Practice and Theory. In: Proc. First International Workshop on RoboCup. LNCS, Springer, Heidelberg (1997)

    Google Scholar 

  3. Bratman, M.E., Israel, D.J., Pollack, M.E.: Plans and Resource-Bounded Practical Reasoning. Computational Intelligence 4(3), 349–355 (1987)

    Article  Google Scholar 

  4. Grosz, B.J., Kraus, S.: Collaborative plans for complex group action. Artificial Intelligence 86(2), 269–357 (1996)

    Article  MathSciNet  Google Scholar 

  5. Grosz, B.J., Kraus, S.: The Evolution of SharedPlans. In: Rao, A., Wooldridge, M. (eds.) Foundations and Theories of Rational Agencies, pp. 227–262 (1999)

    Google Scholar 

  6. d’Inverno, M., Kinny, D., Luck, M., Wooldridge, M.: A formal specification of dMARS. Australian Artificial Intelligence Institute, Technical Note 72 (1997)

    Google Scholar 

  7. Kourakos-Mavromichalis, V., Vouros, G.: Building Intelligent Collaborative Interface Agents with the IC AGENT Framework. Journal of Autonomous Agents and Multi-Agents Systems, Springer (accepted, November 2005)

    Google Scholar 

  8. Mavromichalis, V.K., Vouros, G.: Balancing between Reactivity and Deliberation in the IC AGENT Framework. In: Hannebauer, M., Wendler, J., Pagello, E. (eds.) ECAI-WS 2000. LNCS, vol. 2103, pp. 53–75. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  9. Müller, J.P.: The Design of Intelligent Agents. LNCS, vol. 1177. Springer, Heidelberg (1996)

    Google Scholar 

  10. Demetriou, N., Kakas, A., Torroni, P.: Agent Planning, Negotiation, and Control of Operation. In: de Mántaras, R.L., Saitta, L. (eds.) Proceedings of the 16th Biennal European Conference on Artificial Intelligence, ECAI 2004, Valencia, Spain (August 2004)

    Google Scholar 

  11. Pollack, M.E., Horty, J.F.: There’s More to Life than Making Plans: Plan Management in Dynamic, Multi-agent Environments. AAAI Magazine 20(4) (1999)

    Google Scholar 

  12. Pollack, M.E., Ringuette, M.: Introducing the Tileworld: Experimentally Evaluating Agent Architectures. In: Proceedings of the Eighth National Conference on Artificial Intelligence, pp. 183–189. American Association for Artificial Intelligence, Menlo Park, Calif (1990)

    Google Scholar 

  13. Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach. Prentice-Hall, Englewood Cliffs (1995)

    MATH  Google Scholar 

  14. Weiss, G.: Cognition, sociability, and constraints. In: Hannebauer, M., Wendler, J., Pagello, E. (eds.) ECAI-WS 2000. LNCS, vol. 2103, p. 217. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

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Authors and Affiliations

  1. Dept. of Information and Communication Systems Engineering, University of the Aegean, Karlovassi, Samos, Greece

    Vangelis Kourakos-Mavromichalis & George Vouros

Authors
  1. Vangelis Kourakos-Mavromichalis
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  2. George Vouros
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Editor information

Editors and Affiliations

  1. Computer Science Department of University of Crete, Greece

    Grigoris Antoniou

  2. Institute of Computer Science, Foundation for Research & Technology – Hellas (FORTH), Vassilika Vouton, P.O. Box 1385, 71110, Heraklion, Greece

    George Potamias

  3. Institute of Informatics and Telecommunications, NCSR "Demokritos", 15310 A., Paraskevi Attikis, Greece

    Costas Spyropoulos

  4. Institute of Computer Science, FO.R.T.H., Vassilika Vouton, P.O. Box 1385, GR 71110, Heraklion, Greece

    Dimitris Plexousakis

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© 2006 Springer-Verlag Berlin Heidelberg

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Kourakos-Mavromichalis, V., Vouros, G. (2006). Behaviour Flexibility in Dynamic and Unpredictable Environments: The ICagent Approach. In: Antoniou, G., Potamias, G., Spyropoulos, C., Plexousakis, D. (eds) Advances in Artificial Intelligence. SETN 2006. Lecture Notes in Computer Science(), vol 3955. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11752912_19

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  • DOI: https://doi.org/10.1007/11752912_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34117-8

  • Online ISBN: 978-3-540-34118-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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