Consequence-finding based on ordered linear resolution:
Abstract: "Since linear resolution with clause ordering is incomplete for consequence-finding, it has been used mainly for proof- finding. In this paper, we re-evaluate consequence-finding. Firstly, consequence-finding is generalized to the problem in which only interesting clauses having a cer...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Tokyo, Japan
1991
|
| Schriftenreihe: | Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical report
612 |
| Schlagworte: | |
| Zusammenfassung: | Abstract: "Since linear resolution with clause ordering is incomplete for consequence-finding, it has been used mainly for proof- finding. In this paper, we re-evaluate consequence-finding. Firstly, consequence-finding is generalized to the problem in which only interesting clauses having a certain property (called characteristic clauses) should be found. Then, we show how adding a skip rule to ordered linear resolution makes it complete for consequence-finding in this general sense. Compared with set-of-support resolution, the proposed method generates fewer clauses to find such a subset of consequences. In the propositional case, this is an elegant tool for computing the prime implicants/implicates The importance of the results presented lies in their applicability to a wide class of AI problems such as procedures for nonmonotonic and abductive reasoning, truth maintenance systems, and their possible applications including diagnosis, design and planning. |
| Beschreibung: | 20 S. |
Internformat
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| 100 | 1 | |a Inoue, Katsumi |e Verfasser |4 aut | |
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| 520 | 3 | |a Abstract: "Since linear resolution with clause ordering is incomplete for consequence-finding, it has been used mainly for proof- finding. In this paper, we re-evaluate consequence-finding. Firstly, consequence-finding is generalized to the problem in which only interesting clauses having a certain property (called characteristic clauses) should be found. Then, we show how adding a skip rule to ordered linear resolution makes it complete for consequence-finding in this general sense. Compared with set-of-support resolution, the proposed method generates fewer clauses to find such a subset of consequences. In the propositional case, this is an elegant tool for computing the prime implicants/implicates | |
| 520 | 3 | |a The importance of the results presented lies in their applicability to a wide class of AI problems such as procedures for nonmonotonic and abductive reasoning, truth maintenance systems, and their possible applications including diagnosis, design and planning. | |
| 650 | 4 | |a Proof theory | |
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Datensatz im Suchindex
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| id | DE-604.BV010953776 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T18:01:36Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007326229 |
| oclc_num | 24995721 |
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| physical | 20 S. |
| publishDate | 1991 |
| publishDateSearch | 1991 |
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| record_format | marc |
| series | Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical report |
| series2 | Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical report |
| spelling | Inoue, Katsumi Verfasser aut Consequence-finding based on ordered linear resolution by K. Inoue Tokyo, Japan 1991 20 S. txt rdacontent n rdamedia nc rdacarrier Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical report 612 Abstract: "Since linear resolution with clause ordering is incomplete for consequence-finding, it has been used mainly for proof- finding. In this paper, we re-evaluate consequence-finding. Firstly, consequence-finding is generalized to the problem in which only interesting clauses having a certain property (called characteristic clauses) should be found. Then, we show how adding a skip rule to ordered linear resolution makes it complete for consequence-finding in this general sense. Compared with set-of-support resolution, the proposed method generates fewer clauses to find such a subset of consequences. In the propositional case, this is an elegant tool for computing the prime implicants/implicates The importance of the results presented lies in their applicability to a wide class of AI problems such as procedures for nonmonotonic and abductive reasoning, truth maintenance systems, and their possible applications including diagnosis, design and planning. Proof theory Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical report 612 (DE-604)BV010923438 612 |
| spellingShingle | Inoue, Katsumi Consequence-finding based on ordered linear resolution Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical report Proof theory |
| title | Consequence-finding based on ordered linear resolution |
| title_auth | Consequence-finding based on ordered linear resolution |
| title_exact_search | Consequence-finding based on ordered linear resolution |
| title_full | Consequence-finding based on ordered linear resolution by K. Inoue |
| title_fullStr | Consequence-finding based on ordered linear resolution by K. Inoue |
| title_full_unstemmed | Consequence-finding based on ordered linear resolution by K. Inoue |
| title_short | Consequence-finding based on ordered linear resolution |
| title_sort | consequence finding based on ordered linear resolution |
| topic | Proof theory |
| topic_facet | Proof theory |
| volume_link | (DE-604)BV010923438 |
| work_keys_str_mv | AT inouekatsumi consequencefindingbasedonorderedlinearresolution |