LOCLSep 13, 2021

Categorical Semantics of Reversible Pattern-Matching

arXiv:2109.05837v34 citations
Originality Synthesis-oriented
AI Analysis

This work addresses a foundational issue in reversible computation for theoretical computer science, but it is incremental as it builds on existing categorical frameworks.

The paper tackled the problem of modeling reversible pattern-matching in categorical semantics by identifying that join inverse rig categories are insufficient and deriving a new categorical structure to adequately capture it, based on the Theseus language.

This paper is concerned with categorical structures for reversible computation. In particular, we focus on a typed, functional reversible language based on Theseus. We discuss how join inverse rig categories do not in general capture pattern-matching, the core construct Theseus uses to enforce reversibility. We then derive a categorical structure to add to join inverse rig categories in order to capture pattern-matching. We show how such a structure makes an adequate model for reversible pattern-matching.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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