DocumentCode :
2867301
Title :
Applying Max-2SAT to Efficient Belief Revision
Author :
Luna, G.D.I. ; Martínez, Yolanda Moyao ; Robles, Luis Carlos Altamirano
fYear :
2011
fDate :
Nov. 26 2011-Dec. 4 2011
Firstpage :
9
Lastpage :
15
Abstract :
Belief revision is a NP-hard problem even when the Knowledge Base (Σ) is formed by Horn clauses. In this paper, we present a new belief revision operator running efficiently if the initial knowledge base is a two conjunctive form(conjunction of unit or binary clauses, denoted as 2-CF).Such revision operator *I on a new formula F, denoted as (Σ *IF), relies heavily on the selected model I of F. If the model Ican be computed in polynomial time (e.g. if F is Horn or a 2-CF), then the complete belief revision process has a polynomial time complexity. However, if F has not restrictions, our proposal request to apply only one NP oracle call (that is, the necessary call to compute a model of F) that involves an exponential time over the length of F. Afterwards, to compute (Σ *I F) is done in a polynomial time over the length of Σ. It is common to consider the length of Σ much longer than the length of F. Thus, our proposal of belief revision is in the complexity class PNP[1].
Keywords :
belief maintenance; computability; computational complexity; Horn clause; Max-2SAT; NP oracle call; NP-hard problem; PNP complexity class; belief revision process; conjunctive form; knowledge base; nondeterministic polynomial; polynomial time complexity; revision operator; satisfiability; Complexity theory; Computational modeling; Knowledge based systems; Merging; Polynomials; Proposals; Radiation detectors; Belief Revision; Efficient Algorithms; Max-SAT Problem; Recovering; Satisfiability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence (MICAI), 2011 10th Mexican International Conference on
Conference_Location :
Puebla
Print_ISBN :
978-1-4577-2173-1
Type :
conf
DOI :
10.1109/MICAI.2011.27
Filename :
6118989
Link To Document :
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