DocumentCode :
188563
Title :
Multiple Contraction through Partial-Max-SAT
Author :
Gregoire, Eric ; Lagniez, Jean-Marie ; Mazure, Bertrand
Author_Institution :
CRIL, Univ. d´Artois, Lens, France
fYear :
2014
fDate :
10-12 Nov. 2014
Firstpage :
321
Lastpage :
327
Abstract :
An original encoding of multiple contraction in Boolean logic through Partial-Max-SAT is proposed. Multiple contraction of a set of clauses Δ by a set of formulas Γ delivers one maximum cardinality subset of Δ from which no formula of Γ can be deduced. Equivalently, multiple contraction can be defined as the extraction of one maximum cardinality subset of Δ that is satisfiable together with a given set of formulas. Noticeably, the encoding schema allows multiple contraction to be computed through a number of calls to a SAT solver that is bound by the number of formulas in Γ and one call to Partial-Max-SAT. On the contrary, in the worst case, a direct approach requires us to compute for each formula γ in Γ all inclusion-maximal subsets of Δ that do not entail γ. Extensive experimental results show that the encoding allows multiple contraction to be computed in a way that is practically viable in many cases and outperforms the direct approach.
Keywords :
Boolean algebra; computability; formal logic; set theory; Boolean logic; SAT solver; encoding schema; inclusion-maximal subsets; maximum cardinality subset; multiple contraction; partial-max-SAT; Benchmark testing; Cognition; Communities; Computational modeling; Encoding; Planning; Standards; Belief Change; Knowledge Representation; Multiple Contraction; Partial-Max-SAT;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2014 IEEE 26th International Conference on
Conference_Location :
Limassol
ISSN :
1082-3409
Type :
conf
DOI :
10.1109/ICTAI.2014.56
Filename :
6984492
Link To Document :
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