π€ AI Summary
This work addresses the lack of a concise and canonical logical representation for Ο-calculus processes by proposing a proof net system based on PiL logicβan extension of first-order multiplicative additive linear logic. By introducing novel operators to shallowly encode Ο-calculus processes, the paper establishes the first proof net theoretical framework for PiL, complete with a correctness criterion, a sequentialization algorithm, and a proof translation mechanism. This approach not only provides a logical characterization of Ο-calculus processes but also yields a unique and canonical representation for sequent calculus derivations modulo rule permutation equivalences, thereby effectively resolving the problem of derivation equivalence.
π Abstract
We introduce proof nets for PiL, an extension of first-order multiplicative additive linear logic with new operators allowing a shallow encoding of processes in the Ο-calculus as formulas. We provide correctness criterion, sequentialization procedure, and a proof translation algorithm. We show that proof nets provide a canonical representation of sequent calculus derivations modulo rule permutations.