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The Produoidal Algebra of Process Decomposition

Authors Matt Earnshaw , James Hefford , Mario Román

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Author Details

Matt Earnshaw
  • Tallinn University of Technology, Estonia
James Hefford
  • University of Oxford, UK
Mario Román
  • Tallinn University of Technology, Estonia

Funding

Matt Earnshaw and Mario Román were supported by the European Social Fund Estonian IT Academy research measure (project 2014-2020.4.05.19-0001). James Hefford is supported by University College London and the EPSRC [grant number EP/L015242/1].

Acknowledgements

We thank Pawel Sobocinski, Fosco Loregian, Chad Nester and David Spivak for discussion. We thank the CSL reviewers for suggestions that lead to considerable improvements.

Cite AsGet BibTex

Matt Earnshaw, James Hefford, and Mario Román. The Produoidal Algebra of Process Decomposition. In 32nd EACSL Annual Conference on Computer Science Logic (CSL 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 288, pp. 25:1-25:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
https://doi.org/10.4230/LIPIcs.CSL.2024.25

Abstract

We characterize a universal normal produoidal category of monoidal contexts over an arbitrary monoidal category. In the same sense that a monoidal morphism represents a process, a monoidal context represents an incomplete process: a piece of a decomposition, possibly containing missing parts. In particular, symmetric monoidal contexts coincide with monoidal lenses and endow them with a novel universal property. We apply this algebraic structure to the analysis of multi-party protocols in arbitrary theories of processes.

Subject Classification

ACM Subject Classification
  • Theory of computation → Categorical semantics
Keywords
  • monoidal categories
  • profunctors
  • lenses
  • duoidal categories

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