Abstract

In this paper we present a language to reason about actions in a probabilistic setting and compare our work with earlier work by Pearl and (also briefly with) representations used in probabilistic planning. The main feature of our language is its use of static and dynamic causal laws, and use of unknown (or background) variables -- whose values are determined by factors beyond our model -- in incorporating probabilities. We also incorporate probabilities into reasoning with narratives. 1

Citations