A stochastic language for modelling opponent agents

TitleA stochastic language for modelling opponent agents
Publication TypeConference Papers
Year of Publication2006
AuthorsSimari G, Sliva A, Nau DS, V.S. Subrahmanian
Conference NameProceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Date Published2006///
Abstract

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.