Automated 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
There are many proofs that rely on human intervention to provide the necessary sequence of proof ste...
Supplementary Material: http://proceedings.mlr.press/v97/yang19a/yang19a-supp.pdf Code: https://git...
Abstract. In this paper we propose how proof planning systems can be extended by an automated learni...
AbstractAutomated theorem proving essentially amounts to solving search problems. Despite significan...
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...
. 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...
. 1 Automated theorem provers might be improved if they reuse previously computed proofs. Our appr...
Research on automated and interactive theorem proving aims at the mechanization of logical reasoning...
We present a general framework for developing search heuristics for au-tomated theorem provers. This...
Abstract. There has been some work to use models to guide tradi-tional machine-oriented proof search...
A theorem-proving strategy is given by a set of inference rules and a search plan. Search plans hav...
There are many proofs that rely on human intervention to provide the necessary sequence of proof ste...
Supplementary Material: http://proceedings.mlr.press/v97/yang19a/yang19a-supp.pdf Code: https://git...
Abstract. In this paper we propose how proof planning systems can be extended by an automated learni...
AbstractAutomated theorem proving essentially amounts to solving search problems. Despite significan...
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...
. 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...
. 1 Automated theorem provers might be improved if they reuse previously computed proofs. Our appr...
Research on automated and interactive theorem proving aims at the mechanization of logical reasoning...
We present a general framework for developing search heuristics for au-tomated theorem provers. This...
Abstract. There has been some work to use models to guide tradi-tional machine-oriented proof search...
A theorem-proving strategy is given by a set of inference rules and a search plan. Search plans hav...
There are many proofs that rely on human intervention to provide the necessary sequence of proof ste...
Supplementary Material: http://proceedings.mlr.press/v97/yang19a/yang19a-supp.pdf Code: https://git...
Abstract. In this paper we propose how proof planning systems can be extended by an automated learni...