A knowledge compilation map

被引:483
作者
Darwiche, A [1 ]
Marquis, P
机构
[1] Univ Calif Los Angeles, Dept Comp Sci, Los Angeles, CA 90095 USA
[2] Univ Artois, F-62307 Lens, France
关键词
D O I
10.1613/jair.989
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We propose a perspective on knowledge compilation which calls for analyzing different compilation approaches according to two key dimensions: the succinctness of the target compilation language, and the class of queries and transformations that the language supports in polytime. We then provide a knowledge compilation map, which analyzes a large number of existing target compilation languages according to their succinctness and their polytime transformations and queries. We argue that such analysis is necessary for placing new compilation approaches within the context of existing ones. We also go beyond classical, flat target compilation languages based on CNF and DNF, and consider a richer, nested class based on directed acyclic graphs (such as OBDDs), which we show to include a relatively large number of target compilation languages.
引用
收藏
页码:229 / 264
页数:36
相关论文
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