
doi: 10.4204/eptcs.292.6
arXiv: 1904.06849
We introduce the notion of coherent graphs, and show how those can be used to define dynamic semantics for Multiplicative Linear Logic (MLL) extended with non-determinism. Thanks to the use of a coherence relation rather than mere formal sums of non-deterministic possibilities, our model enjoys some finiteness and sparsity properties. We also show how studying the semantic types generated by a single "test" within our model of MLL naturally gives rise to a notion of proof net, which turns out to be exactly Retor\'e's R&B-cographs. This revisits the old idea that multplicative proof net correctness is interactive, with a twist: types are characterized not by a set of counter-proofs but by a single non-deterministic counter-proof.
Comment: In Proceedings Linearity-TLLA 2018, arXiv:1904.06159
Computer Science - Logic in Computer Science, [INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO], QA75.5-76.95, ACM: F.: Theory of Computation/F.4: MATHEMATICAL LOGIC AND FORMAL LANGUAGES/F.4.1: Mathematical Logic, [MATH.MATH-LO]Mathematics [math]/Logic [math.LO], Electronic computers. Computer science, QA1-939, F.4.1, Mathematics, ACM: F.: Theory of Computation/F.3: LOGICS AND MEANINGS OF PROGRAMS/F.3.2: Semantics of Programming Languages
Computer Science - Logic in Computer Science, [INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO], QA75.5-76.95, ACM: F.: Theory of Computation/F.4: MATHEMATICAL LOGIC AND FORMAL LANGUAGES/F.4.1: Mathematical Logic, [MATH.MATH-LO]Mathematics [math]/Logic [math.LO], Electronic computers. Computer science, QA1-939, F.4.1, Mathematics, ACM: F.: Theory of Computation/F.3: LOGICS AND MEANINGS OF PROGRAMS/F.3.2: Semantics of Programming Languages
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