Encoding probabilistic causal model in probabilistic action language

Authors:
Nam Tran;Chitta Baral
Affiliations:
Department of Computer Science and Engineering, Arizona State University, Tempe, AZ;Department of Computer Science and Engineering, Arizona State University, Tempe, AZ
Venue:
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Year:
2004

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Abstract

Pearl's probabilistic causal model has been used in many domains to reason about causality. Pearl's treatment of actions is very diffewnt from the way actions are represented explicitly in action languages. In this paper we show how to encode Pearl's probabilistic causal model in the action language PAL thus relating this two distinct approaches to reasoning about actions.