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The Sub-Additives: A Proof Theory for Probabilistic Choice extending Linear Logic

Author Ross Horne

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Ross Horne
  • Computer Science and Communications, University of Luxembourg, Esch-sur-Alzette, Luxembourg

Acknowledgements

I thank Bogdan Aman and Gabriel Ciobanu for their enjoyable discussions.

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Ross Horne. The Sub-Additives: A Proof Theory for Probabilistic Choice extending Linear Logic. In 4th International Conference on Formal Structures for Computation and Deduction (FSCD 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 131, pp. 23:1-23:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019) https://doi.org/10.4230/LIPIcs.FSCD.2019.23

Abstract

Probabilistic choice, where each branch of a choice is weighted according to a probability distribution, is an established approach for modelling processes, quantifying uncertainty in the environment and other sources of randomness. This paper uncovers new insight showing probabilistic choice has a purely logical interpretation as an operator in an extension of linear logic. By forbidding projection and injection, we reveal additive operators between the standard with and plus operators of linear logic. We call these operators the sub-additives. The attention of the reader is drawn to two sub-additive operators: the first being sound with respect to probabilistic choice; while the second arises due to the fact that probabilistic choice cannot be self-dual, hence has a de Morgan dual counterpart. The proof theoretic justification for the sub-additives is a cut elimination result, employing a technique called decomposition. The justification from the perspective of modelling probabilistic concurrent processes is that implication is sound with respect to established notions of probabilistic refinement, and is fully compositional.

Subject Classification

ACM Subject Classification
  • Theory of computation → Proof theory
  • Theory of computation → Process calculi
  • Theory of computation → Linear logic
Keywords
  • calculus of structures
  • probabilistic choice
  • probabilistic refinement

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