A Feature-based. Learning Method for Theorem Proving. Matthias Fuchs. Automated Reasoning Project. Australian National University. Canberra ACT 0200, Australia.
A Feature-Based Learning Method for Theorem Proving - AAAI
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Feb 1, 2023 · A Feature-Based Learning Method for Theorem Proving. February 1, 2023. Authors. Matthias Fuchs. Proceedings: Constraint Satisfaction and Search.
Despite significant progress in recent years theorem provers still have many shortcomings. The use of machine-learning techniques is acknowledged as promising, ...
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Automatedreasoning or theorem proving essentially amounts to solving search problems. Despite significant progress in recent years theorem provers still ...
Bibliographic details on A Feature-Based Learning Method for Theorem Proving.
Experiments have demonstrated that the approach allows a theorem prover to prove hard problems that were out of reach before. Keywords: Theorem proving ...
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Dec 4, 2019 · The principle idea is to guide the derivations performed by the theorem prover using some statistical model that has learned in which situation which steps ...
This paper presents a comprehensive survey of deep learning for theorem proving by offering (i) a thorough review of existing approaches across various tasks.
Summary: This paper provides a comprehensive survey on deep learning approaches for theorem proving. The survey includes a thorough review of existing tasks and ...
Jun 7, 2021 · Abstract—Traditional automated theorem provers have relied on manually tuned heuristics to guide how they perform proof search.