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Representing first-order causal theories by logic programs

Published online by Cambridge University Press:  25 May 2011

PAOLO FERRARIS ,
JOOHYUNG LEE ,
YULIYA LIERLER ,
VLADIMIR LIFSCHITZ  and
FANGKAI YANG
PAOLO FERRARIS
Affiliation:
Google Inc., CA 94043, USA (e-mail: [email protected])
JOOHYUNG LEE
Affiliation:
School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, AZ 85287-8809, USA (e-mail: [email protected])
YULIYA LIERLER
Affiliation:
Computer Science Department, University of Kentucky, Lexington, KY 40506-0046, USA (e-mail: [email protected])
VLADIMIR LIFSCHITZ
Affiliation:
Department of Computer Science, University of Texas at Austin, Austin, TX 78712-0233, USA (e-mail: [email protected], [email protected])
FANGKAI YANG
Affiliation:
Department of Computer Science, University of Texas at Austin, Austin, TX 78712-0233, USA (e-mail: [email protected], [email protected])
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Abstract

Nonmonotonic causal logic, introduced by McCain and Turner (McCain, N. and Turner, H. 1997. Causal theories of action and change. In Proceedings of National Conference on Artificial Intelligence (AAAI), Stanford, CA, 460–465) became the 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 the first-order causal logic.

Keywords

reasoning about actionsnonmonotonic causal logicanswer set programming
Type
Regular Papers
Information
Theory and Practice of Logic Programming , Volume 12 , Issue 3 , May 2012 , pp. 383 - 412
Creative Commons
This is a work of the U.S. Government and is not subject to copyright protection in the United States.
Copyright
Copyright © Cambridge University Press 2011. This is a work of the U.S. Government and is not subject to copyright protection in the United States.

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