activity
20162021
most citedHammering Mizar by Learning Clause Guidance

21 citations · 21 across the 1 of their papers we have counts for

collaborators

9 papers

cs.LO2021

Learning Theorem Proving Components

Karel Chvalovský, Jan Jakubův, Miroslav Olšák +1

Saturation-style automated theorem provers (ATPs) based on the given clause procedure are today the strongest general reasoners for classical first-order logic. The clause selectio…

cs.AI2021

Fast and Slow Enigmas and Parental Guidance

Zarathustra Goertzel, Karel Chvalovský, Jan Jakubův +2

We describe several additions to the ENIGMA system that guides clause selection in the E automated theorem prover. First, we significantly speed up its neural guidance by adding se…

cs.AI2020

First Neural Conjecturing Datasets and Experiments

Josef Urban, Jan Jakubův

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…

cs.AI2020

ENIGMA Anonymous: Symbol-Independent Inference Guiding Machine (system description)

Jan Jakubův, Karel Chvalovský, Miroslav Olšák +3

We describe an implementation of gradient boosting and neural guidance of saturation-style automated theorem provers that does not depend on consistent symbol names across problems…

cs.AI2019

ENIGMAWatch: ProofWatch Meets ENIGMA

Zarathustra Goertzel, Jan Jakubův, Josef Urban

In this work we describe a new learning-based proof guidance -- ENIGMAWatch -- for saturation-style first-order theorem provers. ENIGMAWatch combines two guiding approaches for the…

cs.AI201921 cited

Hammering Mizar by Learning Clause Guidance

Jan Jakubův, Josef Urban

We describe a very large improvement of existing hammer-style proof automation over large ITP libraries by combining learning and theorem proving. In particular, we have integrated…