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2016 | OriginalPaper | Buchkapitel

A Model+Solver Approach to Concept Learning

verfasst von : Francesca Alessandra Lisi

Erschienen in: AI*IA 2016 Advances in Artificial Intelligence

Verlag: Springer International Publishing

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Abstract

Many Concept Learning problems can be seen as Constraint Satisfaction Problems (CSP). In this paper, we propose a model+solver approach to Concept Learning which combines the efficacy of Description Logics (DLs) in conceptual modeling with the efficiency of Answer Set Programming (ASP) solvers in dealing with CSPs.

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Metadaten
Titel
A Model+Solver Approach to Concept Learning
verfasst von
Francesca Alessandra Lisi
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-49130-1_20

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