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Taxonomic linear theories

Authors: Christophe Fouqueré; Jacqueline Vauzeilles;

Taxonomic linear theories

Abstract

A semantic network is a structure for representing knowledge as a pattern of interconnected nodes and edges. This paper focuses on the means linear logic offers to represent these networks. In order to compare our inferences, we have chosen one nonmonotonic logic: default logic [9] serves as a reference. The main result proves the equivalence between linear logic and default logic in taxonomic default theories. We hope this will help to better understand the relations between nonmonotonicity and defeasible knowledge representation.

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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!
0
Average
Average
Average
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