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Journal of Applied Logic
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A logic of non-monotonic interactions

Authors: Giovanni Boniolo; Marcello D'Agostino; Mario Piazza; Gabriele Pulcini;

A logic of non-monotonic interactions

Abstract

Article history: In this paper, which is part of the Zsyntax project outlined in Boniolo et al. (2010) (2) ,w e provide a proof-theoretical setting for the study of context-sensitive interactions by means of a non-monotonic conjunction operator. The resulting system is a non-associative variant of MLLpol (the multiplicative polarised fragment of Linear Logic) in which the monotonicity of interactions, depending on the context, is governed by specific devices called control sets. Following the spirit of Linear Logic, the ordinary sequent calculus presentation is also framed into a theory of proof-nets and the set of sequential proofs is shown to be sound and complete with respect to the class of corresponding proof-nets. Some possible biochemical applications are also discussed.

Country
Italy
Keywords

Non-monotonicity, Molecular biology, Logic, Applied Mathematics, 511, Zsyntax, Settore M-FIL/02 - LOGICA E FILOSOFIA DELLA SCIENZA, Non-associative sequent calculi, Settore MAT/01 - LOGICA MATEMATICA, Proof-nets, Substructural logics, Zsyntax; Substructural logics; Non-associative sequent calculi; Non-monotonicity; Proof-nets; Molecular biology, Substructural logics; Non-monotonicity; Molecular biology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Top 10%
Green
hybrid