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Description
| - This paper describes a system combining model-based and learning-based methods for automated reasoning in large theories, i.e. oil a large number of problems that use many axioms, lemmas, theorems, definitions, and symbols, in a consistent fashion. The implementation is based oil the existing MaLARea system, which cycles between theorem proving attempts and learning axiom relevance from successes. This system is extended by taking into account semantic relevance of axioms, in a way similar to that of the SRASS system. The resulting combined system significantly outperforms both MaLARea and SRASS on the MPTP Challenge large theory benchmark, in terms of both the number of problems solved and the time taken to find solutions. The design, implementation, and experimental testing of the system are described here.
- This paper describes a system combining model-based and learning-based methods for automated reasoning in large theories, i.e. oil a large number of problems that use many axioms, lemmas, theorems, definitions, and symbols, in a consistent fashion. The implementation is based oil the existing MaLARea system, which cycles between theorem proving attempts and learning axiom relevance from successes. This system is extended by taking into account semantic relevance of axioms, in a way similar to that of the SRASS system. The resulting combined system significantly outperforms both MaLARea and SRASS on the MPTP Challenge large theory benchmark, in terms of both the number of problems solved and the time taken to find solutions. The design, implementation, and experimental testing of the system are described here. (en)
- Článek popisuje v současnosti nejsilnejší existující systém pro automatické dokazování vět nad velkými matematickými teoriemi jako je databáze Mizar. Systém propojuje sémantické metody založené na tvorbě a použití databáze modelů s metodami strojového učení z předchozích důkazů, a používá tyto metody pro výběr dostatečně malé množiny nejrelevantnejších axiomů vhodných pro důkaz hypotéz. Tento systém zvítězil v kategorii řešení velkých matematických problémů (MZR) letošního (2008) ročníku soutěže automatických dokazovačů (CASC) v Sydney, a vyřešil 1.5-krát více problémů než druhý nejlepší systém v této kategorii. (cs)
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Title
| - MaLARea SG1 - Machine learner for automated reasoning with semantic guidance
- MaLARea SG1 - Machine learner for automated reasoning with semantic guidance (en)
- MaLARea SG1 - Strojové učení se pro automatické dokazování se sémantickým řízením (cs)
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skos:prefLabel
| - MaLARea SG1 - Machine learner for automated reasoning with semantic guidance
- MaLARea SG1 - Machine learner for automated reasoning with semantic guidance (en)
- MaLARea SG1 - Strojové učení se pro automatické dokazování se sémantickým řízením (cs)
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skos:notation
| - RIV/00216208:11320/08:00100073!RIV09-MSM-11320___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/00216208:11320/08:00100073
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - MaLARea; Machine; learner; automated; reasoning; semantic; guidance (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
| - HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
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http://linked.open...i/riv/mistoVydani
| - HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
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http://linked.open...i/riv/nazevZdroje
| - Proceedings of the 4th International Joint Conference on Automated Reasoning
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Urban, Josef
- Vyskočil, Jiří
- Sutcliffe, Geoff
- Pudlák, Petr
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http://linked.open...vavai/riv/typAkce
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http://linked.open...ain/vavai/riv/wos
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http://linked.open.../riv/zahajeniAkce
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http://linked.open...n/vavai/riv/zamer
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number of pages
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http://purl.org/ne...btex#hasPublisher
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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