Representing First-Order Causal Theories by Logic Programs

Ferraris, Paolo, Lee, Joohyung, Lierler, Yuliya, Lifschitz, Vladimir, Yang, Fangkai

arXiv.org Artificial Intelligence 

Nonmonotonic causal logic, introduced by Norman McCain and Hudson Turner, became a basis for the semantics of several expressive action languages. McCain's embedding of definite propositional causal theories into logic programming paved the way to the use of answer set solvers for answering queries about actions described in such languages. In this paper we extend this embedding to nondefinite theories and to first-order causal logic.

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