Automating Induction by Reflection

Johannes Schoisswohl
(University of Manchester)
Laura Kovács
(TU Wien)

Despite recent advances in automating theorem proving in full first-order theories, inductive reasoning still poses a serious challenge to state-of-the-art theorem provers. The reason for that is that in first-order logic induction requires an infinite number of axioms, which is not a feasible input to a computer-aided theorem prover requiring a finite input. Mathematical practice is to specify these infinite sets of axioms as axiom schemes. Unfortunately these schematic definitions cannot be formalized in first-order logic, and therefore not supported as inputs for first-order theorem provers.

In this work we introduce a new method, inspired by the field of axiomatic theories of truth, that allows to express schematic inductive definitions, in the standard syntax of multi-sorted first-order logic. Further we test the practical feasibility of the method with state-of-the-art theorem provers, comparing it to solvers' native techniques for handling induction.

In Elaine Pimentel and Enrico Tassi: Proceedings Sixteenth Workshop on Logical Frameworks and Meta-Languages: Theory and Practice (LFMTP 2021), Pittsburgh, USA, 16th July 2021, Electronic Proceedings in Theoretical Computer Science 337, pp. 39–54.
Published: 16th July 2021.

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