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Kleene Algebra with Observations

Authors Tobias Kappé , Paul Brunet , Jurriaan Rot, Alexandra Silva , Jana Wagemaker, Fabio Zanasi

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Author Details

Tobias Kappé
  • University College London, UK
Paul Brunet
  • University College London, UK
Jurriaan Rot
  • University College London, UK
  • Radboud University, Nijmegen, The Netherlands
Alexandra Silva
  • University College London, UK
Jana Wagemaker
  • University College London, UK
Fabio Zanasi
  • University College London, UK

Funding

ERC Starting Grant ProFoundNet (679127)
  • Rot, Jurriaan: Marie Curie Fellowship (795119)
  • Silva, Alexandra: Leverhulme Prize (PLP-2016-129)
  • Zanasi, Fabio: EPSRC grant (EP/R020604/1)

Acknowledgements

We are grateful to Jean-Baptiste Jeannin, Dan Frumin and Damien Pous individually, for their input which helped contextualise this work.

Cite AsGet BibTex

Tobias Kappé, Paul Brunet, Jurriaan Rot, Alexandra Silva, Jana Wagemaker, and Fabio Zanasi. Kleene Algebra with Observations. In 30th International Conference on Concurrency Theory (CONCUR 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 140, pp. 41:1-41:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)
https://doi.org/10.4230/LIPIcs.CONCUR.2019.41

Abstract

Kleene algebra with tests (KAT) is an algebraic framework for reasoning about the control flow of sequential programs. Generalising KAT to reason about concurrent programs is not straightforward, because axioms native to KAT in conjunction with expected axioms for concurrency lead to an anomalous equation. In this paper, we propose Kleene algebra with observations (KAO), a variant of KAT, as an alternative foundation for extending KAT to a concurrent setting. We characterise the free model of KAO, and establish a decision procedure w.r.t. its equational theory.

Subject Classification

ACM Subject Classification
  • Theory of computation → Formal languages and automata theory
Keywords
  • Concurrent Kleene algebra
  • Kleene algebra with tests
  • free model
  • axiomatisation
  • decision procedure

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