Theorem Proving with Structed Theories (Full Report)

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Citation: Sheila A. McIlraith and Eyal Amir. (2001) Theorem Proving with Structed Theories (Full Report). In KSL-01-04, April,2001.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Sheila A. McIlraith and Eyal Amir
title Theorem Proving with Structed Theories (Full Report)
number KSL-01-04
institution Knowledge Systems, AI Laboratory
year 2001
month April
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abstract Motivated by the problem of query answering over multiple structured commonsense theories, we exploit graph-based techniques to improve the efficiency of theorem proving for structured theories. Theories are organized into subtheories that are minimally connected by the literals they share. We present message-passing algorithms that reason over these theories using consequence finding, specializing our algorithms for the case of first-order resolution, and for batch and concurrent theorem proving. We provide an algorithm that restricts the interaction between subtheories by exploiting the polarity of literals. We attempt to minimize the reasoning within each individual partition by exploiting existing algorithms for focused incremental and general consequence finding. Finally, we propose an algorithm that compiles each subtheory into one in a reduced sublanguage. We have proven the soundness and completeness of all of these algorithms.

KSL Technical Report ID: KSL-01-04
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Abstract Motivated by the problem of query answerin Motivated by the problem of query answering over multiple structured commonsense theories, we exploit graph-based techniques to improve the efficiency of theorem proving for structured theories. Theories are organized into subtheories that are minimally connected by the literals they share. We present message-passing algorithms that reason over these theories using consequence finding, specializing our algorithms for the case of first-order resolution, and for batch and concurrent theorem proving. We provide an algorithm that restricts the interaction between subtheories by exploiting the polarity of literals. We attempt to minimize the reasoning within each individual partition by exploiting existing algorithms for focused incremental and general consequence finding. Finally, we propose an algorithm that compiles each subtheory into one in a reduced sublanguage. We have proven the soundness and completeness of all of these algorithms. d completeness of all of these algorithms.
Author Sheila A. McIlraith and Eyal Amir  +
Bibtype techreport  +
Has author Sheila A. McIlraith and Eyal Amir  +
Has identifier KSL-01-04  +
Has publishing details April,2001  +
Has title Theorem Proving with Structed Theories (Full Report)  +
Has where published KSL-01-04  +
Has year 2001  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-01-04  +
Month April  +
Number KSL-01-04  +
Process note NO  +
Title Theorem Proving with Structed Theories (Full Report)  +
Year 2001  +
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