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2018 | OriginalPaper | Buchkapitel

Time-Bounded Query Generator for Constraint Acquisition

verfasst von : Hajar Ait Addi, Christian Bessiere, Redouane Ezzahir, Nadjib Lazaar

Erschienen in: Integration of Constraint Programming, Artificial Intelligence, and Operations Research

Verlag: Springer International Publishing

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Abstract

QuAcq is a constraint acquisition algorithm that assists a non-expert user to model her problem as a constraint network. QuAcq generates queries as examples to be classified as positive or negative. One of the drawbacks of QuAcq is that generating queries can be time-consuming. In this paper we present Tq-gen, a time-bounded query generator. Tq-gen is able to generate a query in a bounded amount of time. We rewrite QuAcq to incorporate the Tq-gen generator. This leads to a new algorithm called T-quacq. We propose several strategies to make T-quacq efficient. Our experimental analysis shows that thanks to the use of Tq-gen, T-quacq dramatically improves the basic QuAcq in terms of time consumption, and sometimes also in terms of number of queries.

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Fußnoten
1
QuAcq also contains a line for returning “collapse” when detecting an inconsistent learned network. This line has been dropped from T-quacq because we allow it to learn a target network without solutions.
 
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Metadaten
Titel
Time-Bounded Query Generator for Constraint Acquisition
verfasst von
Hajar Ait Addi
Christian Bessiere
Redouane Ezzahir
Nadjib Lazaar
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-93031-2_1

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