Experimenting with power default reasoning

被引:0
|
作者
Klavins, E [1 ]
Rounds, WC [1 ]
Zhang, GQ [1 ]
机构
[1] Univ Michigan, Artificial Intelligence Lab, Ann Arbor, MI 48109 USA
关键词
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
In this paper we explore the computational aspects of Propositional Power Default Reasoning (PDR), a form of non-monotonic reasoning in which the underlying logic is Kleene's 3-valued propositional logic. PDR leads to a concise meaning of the problem of skeptical entailment which has better complexity characteristics than the usual formalisms (co-NP(3)-Complete instead of Pi(2)(P)-Complete). We take advantage of this in an implementation called powdef to encode and solve hard graph problems and explore randomly generated instances of skeptical entailment.
引用
收藏
页码:846 / 852
页数:7
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