Non uniform (hyper/multi)coherence spaces
Pierre Boudes (LIPN)

TL;DR
This paper introduces non-uniform hypercoherence and multicoherence spaces, reconstructing missing vertices in coherence semantics to better compare with other models like game semantics, using a co-free exponential construction.
Contribution
It develops a new non-uniform coherence space semantics with a co-free exponential, allowing reconstruction of missing vertices and deterministic interactions, extending previous uniform models.
Findings
Reconstruction of missing vertices in coherence semantics.
Introduction of non-uniform hypercoherence and multicoherence spaces.
Deterministic semantics with at most one vertex in intersections.
Abstract
In (hyper)coherence semantics, proofs/terms are cliques in (hyper)graphs. Intuitively, vertices represent results of computations and the edge relation witnesses the ability of being assembled into a same piece of data or a same (strongly) stable function, at arrow types. In (hyper)coherence semantics, the argument of a (strongly) stable functional is always a (strongly) stable function. As a consequence, comparatively to the relational semantics, where there is no edge relation, some vertices are missing. Recovering these vertices is essential for the purpose of reconstructing proofs/terms from their interpretations. It shall also be useful for the comparison with other semantics, like game semantics. In [BE01], Bucciarelli and Ehrhard introduced a so called non uniform coherence space semantics where no vertex is missing. By constructing the co-free exponential we set a new version of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Algebra and Logic · Logic, Reasoning, and Knowledge · Rough Sets and Fuzzy Logic
