Machine Learner for Automated Reasoning 0.4 and 0.5

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00225201" target="_blank" >RIV/68407700:21230/14:00225201 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Jazyk výsledku
angličtina
Název v původním jazyce
Machine Learner for Automated Reasoning 0.4 and 0.5
Popis výsledku v původním jazyce
Machine Learner for Automated Reasoning (MaLARea) is a learning and reasoning systém for proving in large formal libraries where thousands of theorems are available when attacking a new conjecture, and a large number of related problems and proofs can beused to learn specific theorem-proving knowledge. The last version of the system has by a large margin won the 2013 CASC LTB competition. This paper describes the motivation behind the methods used in MaLARea, discusses the general approach and the issues arising in evaluation of such system, and describes the Mizar@Turing100 and CASC?24 versions of MaLARea.
Název v anglickém jazyce
Machine Learner for Automated Reasoning 0.4 and 0.5
Popis výsledku anglicky
Machine Learner for Automated Reasoning (MaLARea) is a learning and reasoning systém for proving in large formal libraries where thousands of theorems are available when attacking a new conjecture, and a large number of related problems and proofs can beused to learn specific theorem-proving knowledge. The last version of the system has by a large margin won the 2013 CASC LTB competition. This paper describes the motivation behind the methods used in MaLARea, discusses the general approach and the issues arising in evaluation of such system, and describes the Mizar@Turing100 and CASC?24 versions of MaLARea.

Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění
2014
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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