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A stochastic language for modelling opponent agents

Published:08 May 2006Publication History

ABSTRACT

There are numerous cases where a reasoning agent needs to reason about the behavior of an opponent agent. In this paper, we propose a hybrid probabilistic logic language within which we can express what actions an opponent may take in a given situation. We present the syntaxis and semantics of the language, and the concept of a Maximally Probable Course of Action.

References

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  2. Dix, J., Kraus, S., and Subrahmanian, V. 2004. Heterogeneous temporal probabilistic agents. ACM Transactions of Computational Logic 5(3). Google ScholarGoogle ScholarDigital LibraryDigital Library
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  • Published in

    cover image ACM Conferences
    AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
    May 2006
    1631 pages
    ISBN:1595933034
    DOI:10.1145/1160633

    Copyright © 2006 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 8 May 2006

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    Overall Acceptance Rate1,155of5,036submissions,23%

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