Proof search specifications of bisimulation and modal logics for the π-calculus

Author:

Tiu Alwen1,Miller Dale2

Affiliation:

1. The Australian National University, Canberra, Australia

2. INRIA-Saclay & LIX, École Polytechnique, Palaiseau Cedex, France

Abstract

We specify the operational semantics and bisimulation relations for the finite φ-calculus within a logic that contains the ∇ quantifier for encoding generic judgments and definitions for encoding fixed points. Since we restrict to the finite case, the ability of the logic to unfold fixed points allows this logic to be complete for both the inductive nature of operational semantics and the coinductive nature of bisimulation. The ∇ quantifier helps with the delicate issues surrounding the scope of variables within φ-calculus expressions and their executions (proofs). We illustrate several merits of the logical specifications permitted by this logic: they are natural and declarative; they contain no side-conditions concerning names of variables while maintaining a completely formal treatment of such variables; differences between late and open bisimulation relations arise from familar logic distinctions; the interplay between the three quantifiers (∀, ∃, and ∇) and their scopes can explain the differences between early and late bisimulation and between various modal operators based on bound input and output actions; and proof search involving the application of inference rules, unification, and backtracking can provide complete proof systems for one-step transitions, bisimulation, and satisfaction in modal logic. We also illustrate how one can encode the φ-calculus with replications, in an extended logic with induction and co-induction.

Funder

INRIA

Publisher

Association for Computing Machinery (ACM)

Subject

Computational Mathematics,Logic,General Computer Science,Theoretical Computer Science

Reference60 articles.

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3. Baelde D. and Miller D . 2007 . Least and greatest fixed points in linear logic. In International Conference on Logic for Programming and Automated Reasoning (LPAR) Lecture Notes in Artificial Intelligence vol. 4790 . Springer-Verlag Berlin Germany 92--106. Baelde D. and Miller D. 2007. Least and greatest fixed points in linear logic. In International Conference on Logic for Programming and Automated Reasoning (LPAR) Lecture Notes in Artificial Intelligence vol. 4790. Springer-Verlag Berlin Germany 92--106.

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