AbstractAutomated theorem proving essentially amounts to solving search problems. Despite significant progress in recent years theorem provers still have many shortcomings. The use of machine-learning techniques such as schemas is acknowledged as promising, but difficult to apply in the area of theorem proving. We propose a simple form of schemas, and to make use of a schema heuristically by integrating it with a search-guiding heuristic. Experiments have demonstrated that the approach allows a theorem prover to find proofs significantly faster and to prove hard problems that were out of reach before
. In a learning theorem prover, formulas can be verified by reusing proofs of previously verified co...
International audienceWe present a new proof procedure for reasoning on schemas of formulas defined ...
Abstract. In this paper we propose how proof planning systems can be extended by an automated learni...
Automated theorem proving essentially amounts to solving search problems. Despite significant progre...
Automated reasoning or theorem proving essentially amounts to solving search problems. Despite signi...
Automated reasoning or theorem proving essentially amounts to solving search problems. Despite signi...
Automated reasoning or theorem proving essentially amounts to solving search problems. Despite sign...
Computer programs to find formal proofs of theorems were originally designed as tools for mathematic...
We present a general framework for developing search heuristics for au-tomated theorem provers. This...
. 1 We investigate the application of machine learning paradigms in automated reasoning in order t...
Abstract: Theorem provers are extremely useful tools for reasoning about complex mathematics and lar...
Research on automated and interactive theorem proving aims at the mechanization of logical reasoning...
. 1 Automated theorem provers might be improved if they reuse previously computed proofs. Our appr...
A theorem-proving strategy is given by a set of inference rules and a search plan. Search plans hav...
Abstract. There has been some work to use models to guide tradi-tional machine-oriented proof search...
. In a learning theorem prover, formulas can be verified by reusing proofs of previously verified co...
International audienceWe present a new proof procedure for reasoning on schemas of formulas defined ...
Abstract. In this paper we propose how proof planning systems can be extended by an automated learni...
Automated theorem proving essentially amounts to solving search problems. Despite significant progre...
Automated reasoning or theorem proving essentially amounts to solving search problems. Despite signi...
Automated reasoning or theorem proving essentially amounts to solving search problems. Despite signi...
Automated reasoning or theorem proving essentially amounts to solving search problems. Despite sign...
Computer programs to find formal proofs of theorems were originally designed as tools for mathematic...
We present a general framework for developing search heuristics for au-tomated theorem provers. This...
. 1 We investigate the application of machine learning paradigms in automated reasoning in order t...
Abstract: Theorem provers are extremely useful tools for reasoning about complex mathematics and lar...
Research on automated and interactive theorem proving aims at the mechanization of logical reasoning...
. 1 Automated theorem provers might be improved if they reuse previously computed proofs. Our appr...
A theorem-proving strategy is given by a set of inference rules and a search plan. Search plans hav...
Abstract. There has been some work to use models to guide tradi-tional machine-oriented proof search...
. In a learning theorem prover, formulas can be verified by reusing proofs of previously verified co...
International audienceWe present a new proof procedure for reasoning on schemas of formulas defined ...
Abstract. In this paper we propose how proof planning systems can be extended by an automated learni...