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 |
| Bibtex more | |
| Access Paper | |
| 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 |
Facts about Theorem Proving with Structed Theories (Full Report)RDF feed
| 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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