Knowledge Compilation Using Theory Prime Implicates
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Knowledge Representation. Pages 837-844.
Abstract
In this paper, we are mainly concerned with logical compilations of propositional knowledge bases. We propose a new approach to equivalence-preserving knowledge compilation based on a generalization of the standard notion of prime implicate, the theory prime implicates. Our approach consists in taking advantage of tractable theories <I> implied by the knowledge base 1: to make 1: local by computing the theory prime implicates of 1: w.r.t. <1>. As a main result, query answering from theory prime implicates compilations can be done in time polynomial in their sizes . While there is no guarantee that the size of a compilation is not exponentially greater than the size of the original knowledge base, we show that it is smaller than the size of the prime implicates compilation in the general case and it can even be exponentially smaller. Additionally, we present some experimental results providing evidence for the substantial space savings achievable with our compilation technique.
@inproceedings{ijcai1995p109,
title = {Knowledge Compilation Using Theory Prime Implicates},
author = {Marquis, Pierre},
booktitle = {Proceedings of the Fourteenth International Joint Conference on
Artificial Intelligence, {IJCAI-95}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Chris S. Mellish},
pages = {837--844},
year = {1995},
note = {Knowledge Representation},
url = {https://ijcai.org/proceedings/1995/109},
}
TY - CPAPER TI - Knowledge Compilation Using Theory Prime Implicates AU - Marquis, Pierre T2 - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95 PB - International Joint Conferences on Artificial Intelligence PY - 1995 SP - 837 EP - 844 UR - https://ijcai.org/proceedings/1995/109 ER -Copied
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