TY - CONF T1 - A stochastic language for modelling opponent agents T2 - Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems Y1 - 2006 A1 - Simari,G. A1 - Sliva,A. A1 - Nau, Dana S. A1 - V.S. Subrahmanian AB - There are numerous cases where a reasoning agent needs toreason about the behavior of an opponent agent. In this pa- per, 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. JA - Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems ER -