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ATAL
2006
Springer

A stochastic language for modelling opponent agents

13 years 7 months ago
A stochastic language for modelling opponent agents
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. Categories and Subject Descriptors I.2 [Computing Methodolgies]: Artificial Intelligence Keywords Logic for agent systems, Formal models of agency
Gerardo I. Simari, Amy Sliva, Dana S. Nau, V. S. S
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where ATAL
Authors Gerardo I. Simari, Amy Sliva, Dana S. Nau, V. S. Subrahmanian
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