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.
This work was supported by Scholarship No. 7587 of the EU METALIC non redundant program.
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Notes
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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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Ait Addi, H., Bessiere, C., Ezzahir, R., Lazaar, N. (2018). Time-Bounded Query Generator for Constraint Acquisition. In: van Hoeve, WJ. (eds) Integration of Constraint Programming, Artificial Intelligence, and Operations Research. CPAIOR 2018. Lecture Notes in Computer Science(), vol 10848. Springer, Cham. https://doi.org/10.1007/978-3-319-93031-2_1
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