Computer Science – Artificial Intelligence
Scientific paper
2011-06-09
Journal Of Artificial Intelligence Research, Volume 17, pages 229-264, 2002
Computer Science
Artificial Intelligence
Scientific paper
10.1613/jair.989
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.
Darwiche Adnan
Marquis Pierre
No associations
LandOfFree
A Knowledge Compilation Map does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A Knowledge Compilation Map, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Knowledge Compilation Map will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-580345