Modalities as prices: a game model of intuitionistic linear logic with subexponentials
Various kinds of game semantics have been introduced to characterize computational features of substructural logics, in particular fragments and variants of linear logic (LL) . This line of research can be traced back to Lorenzen’s dialogues for intuitionistic logic  and to the works of Blass [2,3], Abramsky and Jagadeesan , among several others.
We look at substructural calculi from a game semantic point of view, guided by certain intuitions about resource conscious and, more specifically, cost conscious reasoning. To this aim, we start with a game for affine intuitionistic linear logic, where player I defends a claim corresponding to a (single-conclusion) sequent, while player II tries to refute that claim. Branching rules for additive connectives are modeled by choices of II, while branching for multiplicative connectives leads to splitting the game into parallel subgames, all of which have to be won by player I to succeed. The game comes into full swing by using subexponentials () for representing two types of options - volatile and permanent - for purchasing resources. This leads to a new type of subexponential calculus where costs are attached to sequents. Different proofs are interpreted as more or less expensive strategies to obtain a certain resource from a bunch of resources (priced options). We also generalize the concept of costs and option’s prices in proofs by using a semiring structure. This allows for the interpretation a wider range of subexponential systems, giving meaning to resources in proofs in a more flexible way. We conclude by studying some proof-theoretical properties of the proposed systems, justifying our intended meaning for costs and resources.
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I: Nathanaël Fijalkow CNRS, LaBRI, and Alan Turing Institute
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Yu-Yang Lin Queen Mary University of London, Nikos Tzevelekos Queen Mary University of London
|Modalities as prices: a game model of intuitionistic linear logic with subexponentials|
Timo Lang Vienna University of Technology, Chris Fermüller Vienna University of Technology, Elaine Pimentel Federal University of Rio Grande do Norte, Brazil, Carlos Olarte Federal University of Rio Grande do Norte, Brazil