First neural conjecturing datasets and experiments

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Abstract

We describe several datasets and first experiments with creating conjectures by neural methods. The datasets are based on the Mizar Mathematical Library processed in several forms and the problems extracted from it by the MPTP system and proved by the E prover using the ENIGMA guidance. The conjecturing experiments use the Transformer architecture and in particular its GPT-2 implementation.

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Urban, J., & Jakubův, J. (2020). First neural conjecturing datasets and experiments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12236 LNAI, pp. 315–323). Springer. https://doi.org/10.1007/978-3-030-53518-6_24

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