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Learning Guided Automated Reasoning: A Brief Survey
Automated theorem provers and formal proof assistants are general reasoning systems that are in theory capable of proving arbitrarily hard theorems, thus solving arbitrary problems reducible to mathematics and logical reasoning.
Graph2Tac: Learning Hierarchical Representations of Math Concepts in Theorem proving
G2T is an online model that is deeply integrated into the users' workflow and can adapt in real time to new Coq projects and their definitions.
The Tactician's Web of Large-Scale Formal Knowledge
The Tactician's Web is a platform offering a large web of strongly interconnected, machine-checked, formal mathematical knowledge conveniently packaged for machine learning, analytics, and proof engineering.
Online Machine Learning Techniques for Coq: A Comparison
Learning happens in an online manner, meaning that Tactician's machine learning model is updated immediately every time the user performs a step in an interactive proof.
The Tactician (extended version): A Seamless, Interactive Tactic Learner and Prover for Coq
We present Tactician, a tactic learner and prover for the Coq Proof Assistant.
Tactic Learning and Proving for the Coq Proof Assistant
Currently, our predictor can identify the correct tactic to be applied to a proof state 23. 4% of the time.
