Is non-monotonic reasoning always harder?

被引:0
|
作者
Egly, U [1 ]
Tompits, H [1 ]
机构
[1] Vienna Univ Technol, Abt Wissensbasierte Syst 184 3, A-1040 Vienna, Austria
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
Although it has been shown that non-monotonic reasoning is presumably harder than classical reasoning, there are cases where a non-monotonic treatment actually simplifies matters. Indeed, one of the reasons for considering non-monotonic systems is the hope of speeding up reasoning, and not to slow it down. In this paper, we consider proof lengths in a cut-free sequent calculus, and we show that the application of circumscription (or completion) to certain first-order formulae leads to a non-elementary speed-up of proof length. This is possible because the introduction of the completion formula can simulate the cut rule.
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页码:60 / 75
页数:16
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