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Electronic Notes in Theoretical Computer Science
Article . 2001 . Peer-reviewed
License: CC BY NC ND
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On the Relations between Disjunctive and Linear Logic Programming

Authors: M. BOZZANO; DELZANNO, GIORGIO; MARTELLI, MAURIZIO;

On the Relations between Disjunctive and Linear Logic Programming

Abstract

AbstractIn this paper we investigate the relationship between Disjunctive Logic Programming as defined in [13] and a subset of Linear Logic, namely the fragment of LinLog [2] which corresponds to Andreoli and Pareschi's LO [3]. We analyze the two languages both from a top-down, operational perspective, and from a bottom-up, semantical one. From a proof-theoretical perspective, we show that, modulo a simple mapping between classical and linear connectives, LO can be viewed as a sub-structural fragment of DLP in which the rule of contraction is forbidden on the right-hand side of sequents. We also prove that LO is strictly more expressive than DLP in the propositional case. From a semantical perspective, after recalling the definition of a bottom-up fixpoint semantics for LO we have given in our previous work [5], we show that DLP fixpoint semantics can be viewed as an abstraction of the corresponding LO semantics, defined over a suitable abstract domain. We prove that the abstraction is correct and complete in the sense of [6,8]. Finally, we show that the previous property of the semantics is strictly related to proof-theoretical properties of the classical and linear logic fragments underlying DLP and LO.

Keywords

004, Theoretical Computer Science, Computer Science(all)

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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!
1
Average
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