Starting from an exact correspondence between linear approximations and non-idempotent intersection types, we develop a general framework for building systems of intersection types characterizing normalization properties. We show how this construction, which uses in a fundamental way Melliès and Zeilberger's łtype systems as functorsž viewpoint, allows us to recover equivalent versions of every well known intersection type system (including Coppo and Dezani's original system, as well as its non-idempotent variants independently introduced by Gardner and de Carvalho). We also show how new systems of intersection types may be built almost automatically in this way.
We introduce a new graphical representation for multiplicative and exponential linear logic proof-structures, based only on standard labelled oriented graphs and standard notions of graph theory. The inductive structure of boxes is handled by means of a box-tree. Our proof-structures are canonical and allows for an elegant definition of their Taylor expansion by means of pullbacks.
This paper is at the same time a first step towards an "implementation" of the inferentialist view of meaning and a first proposal for a logical structure which describes an argumentation. According to inferentialism the meaning of a statement lies in its argumentative use, its justifications, its refutations and more generally its deductive relation to other statements. In this first step we design a simple notion of argumentative dialogue. Such dialogues can be either carried in purely logical terms or in natural language. Indeed, a sentence can be mapped to logical formulas representing the possible meanings of the sentence, as implemented with some categorial parsers. We then present our version of dialogical logic, which we recently proved complete for first order classical logic. Next we explain, through examples, how argumentative dialogues can be modeled within our version of dialogical logic.Finally, we discuss how this framework can be extended to real argumentative dialogues, in particular with a proper treatment of axioms.
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The recent success of deep neural network techniques in natural language processing rely heavily on the so-called distributional hypothesis. We suggest that the latter can be understood as a simplified version of the classic structuralist hypothesis, at the core of a programme aiming at reconstructing grammatical structures from first principles and corpus analysis. Then, we propose to reinterpret the structuralist programme with insights from proof theory, especially associating paradigmatic relations and units with formal types defined through an appropriate notion of interaction. In this way, we intend to build original conceptual bridges between computational logic and classic structuralism, which can contribute to understanding the recent advances in NLP.
It is a well known intuition that the exponential modality of linear logic may be seen as a form of limit. Recently, Melliès, Tabareau and Tasson gave a categorical account for this intuition, whereas the first author provided a topological account, based on an infinitary syntax. We relate these two different views by giving a categorical version of the topological construction, yielding two benefits: on the one hand, we obtain canonical models of the infinitary affine lambda-calculus introduced by the first author; on the other hand, we find an alternative formula for computing free commutative comonoids in models of linear logic with respect to the one presented by Melliès et al.
A Multiplicative-Exponential Linear Logic (MELL) proof-structure can be
expanded into a set of resource proof-structures: its Taylor expansion. We
introduce a new criterion characterizing (and deciding in the finite case)
those sets of resource proof-structures that are part of the Taylor expansion
of some MELL proof-structure, through a rewriting system acting both on
resource and MELL proof-structures. We also prove semi-decidability of the type
inhabitation problem for cut-free MELL proof-structures.
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