Logic-Based Probabilistic Modeling

Authors:
Taisuke Sato
Affiliations:
Tokyo Institute of Technology, Ookayama Meguro, Tokyo, Japan
Venue:
WoLLIC '09 Proceedings of the 16th International Workshop on Logic, Language, Information and Computation
Year:
2009

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Abstract

After briefly mentioning the historical background of PLL/ SRL, we examine PRISM, a logic-based modeling language, as an instance of PLL/SRL research. We first look at the distribution semantics, PRISM's semantics, which defines a probability measure on a set of possible Herbrand models. We then mention characteristic features of PRISM as a tool for probabilistic modeling.