Non-well-founded Deduction for Induction and Coinduction

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Induction and coinduction are both used extensively within mathematics and computer science. Algebraic formulations of these principles make the duality between them apparent, but do not account well for the way they are commonly used in deduction. Generally, the formalization of these reasoning methods employs inference rules that express a general explicit (co)induction scheme. Non-well-founded proof theory provides an alternative, more robust approach for formalizing implicit (co)inductive reasoning. This approach has been extremely successful in recent years in supporting implicit inductive reasoning, but is not as well-developed in the context of coinductive reasoning. This paper reviews the general method of non-well-founded proofs, and puts forward a concrete natural framework for (co)inductive reasoning, based on (co)closure operators, that offers a concise framework in which inductive and coinductive reasoning are captured as we intuitively understand and use them. Through this framework we demonstrate the enormous potential of non-well-founded deduction, both in the foundational theoretical exploration of (co)inductive reasoning and in the provision of proof support for (co)inductive reasoning within (semi-)automated proof tools.

Original languageEnglish
Title of host publicationAutomated Deduction – CADE 28 - 28th International Conference on Automated Deduction, 2021, Proceedings
EditorsAndré Platzer, Geoff Sutcliffe
PublisherSpringer Science and Business Media Deutschland GmbH
Pages3-24
Number of pages22
ISBN (Print)9783030798758
DOIs
StatePublished - 1 Jan 2021
Event28th International Conference on Automated Deduction, CADE 28 2021 - Virtual, Online
Duration: 12 Jul 202115 Jul 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12699 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference28th International Conference on Automated Deduction, CADE 28 2021
CityVirtual, Online
Period12/07/2115/07/21

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'Non-well-founded Deduction for Induction and Coinduction'. Together they form a unique fingerprint.

Cite this