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
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