Encoding probabilistic causal models in probabilistic action language PAL
Chitta Baral and Nam Tran
Pearl's probabilistic causal model has been used in many domains
to reason about causality. Pearl's treatment of actions is very
different from the way actions are represented (explicitly) and
their impact is reasoned in most other papers in the literature.
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 reason about actions.