Abstract
A team is a task-oriented group, its behavior is constrained to eliminate actions that are not essential to task achievement. The differences of individual beliefs, intentions and plans cannot be accomplished, yet team demands that these different insights be combined or integrated such that agents act as one. The central hypothesis in this paper is that for effective teamwork, agents should be provided explicit time lines and an underlying model of teamwork based on a concept of team knowledge. The model also emphasizes on the team agent architecture that contains multiple level belief modules (team, group, society, and individual beliefs) as its core to allow robust and coherent team behavior. The application and implementation of this model to a virtual fire-fighting domain has revealed a promising prospect in developing team agents.
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References
Ambros-Ingerson, J.A., Steel, S.: Integrating Planning, Execution and Monitoring. In: Proceedings of the National Conference on Artificial Intelligence, AAAI 1988 (1988)
Cohen, P.R., Greenberg, M.L., Hart, D.M., Howe, A.E.: Trial by fire: Understanding the design requirements for agents in complex environments. AI Magazine 10(3) (1989)
Cohen, P.R., Levesque, H.J.: Teamwork. Nous 35 (1991)
Firby, J.: An investigation into reactive planning in complex domains. In: Proceedings of the National Conference on Artificial Intelligence, AAAI (1987)
Grosz, B.J., Kraus, S.: Collaborative Plans for Complex Group Actions. Artificial Intelligence 86, 269–357 (1996)
Ingrand, F.F., Georgeff, M.P., Rao, A.S.: An Architecture for real-time reasoning and system control. IEEE Expert 7(6) (1992)
Jennings, N.: Controlling Cooperative problem solving in Industrial Multi-agent Systems using joint intentions. Artificial Intelligence 75 (1995)
Kitano, H., Asada, M., Kuniyoshi, Y., Noda, I., Osawa, E.: Robocup: The robot world cup initiative. In: Proceedings of the IJCAI 1995 Workshop on Entertainment and AI/Alife (1995)
Lochbaum, K.E.: Using Collaborative Plans to Model the Intentional Structure of Discourse. Ph.D. thesis. Harvard University (1994)
Newell, A.: Unified Theories of Cognition. Harvard University Press, Cambridge (1990)
Rao, A.S.: A unified View of Plans as recipes. Technical Report 77. The Australian Artificial Intelligence Institute (1997)
Hayes-Roth, B., Brownston, L., Gen, R.V.: Multiagent collaboration in directed improvisation. In: Proceedings of the International Conference on Multi-agent Systems, ICMAS 1995 (1995)
Singh, M.P.: Intentions for Multi-Agent Systems. MCC Technical Report No. KBNL-086- 124 (1993)
Tambe, M.: Agent architectures for flexible, practical teamwork. In: Proceedings of the National Conference on Artificial Intelligence, AAAI (1997)
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Goyal, M., Parameswaran, N. (2000). A Complete Teamwork Model in a Dynamic Environment. In: Cairó, O., Sucar, L.E., Cantu, F.J. (eds) MICAI 2000: Advances in Artificial Intelligence. MICAI 2000. Lecture Notes in Computer Science(), vol 1793. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720076_64
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DOI: https://doi.org/10.1007/10720076_64
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