Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 37-61 |
| Number of pages | 25 |
| Journal | Journal of Symbolic Computation |
| Volume | 30 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jul 2000 |
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