Compiling stratified belief bases

被引:0
|
作者
Coste-Marquis, S [1 ]
Marquis, P [1 ]
机构
[1] Univ Artois, CRIL, F-62307 Lens, France
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D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Many coherence-based approaches to inconsistency handling within propositional belief bases have been proposed so far. They consist in selecting one or several preferred consistent subbases of the given (usually inconsistent) stratified belief base (SBB), then using classical inference from some of the selected subbases. Unfortunately, deciding the corresponding inference relations is typically hard from the computational complexity point of view. In this paper, we show how some knowledge compilation techniques for classical inference can be used to circumvent the intractability of such sophisticated inference relations. For several families of compiled SBBs and several selection policies, the complexity of skeptical inference is identified. Interestingly, some tractable restrictions are exhibited.
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页码:23 / 27
页数:5
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