Computing soft constraints by hierarchical constraint logic programming:

Abstract: "We have formalized soft constraints in [11] based on interpretation ordering which is a generalization of circumscription. However, this formalization is written in a second-order formula and therefore is not computable in general. To make it computable, we have to introduce some res...

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Bibliographic Details
Main Authors: Satoh, Ken 1959- (Author), Aiba, Akira (Author)
Format: Book
Language:English
Published: Tokyo, Japan 1991
Series:Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical report 610
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Summary:Abstract: "We have formalized soft constraints in [11] based on interpretation ordering which is a generalization of circumscription. However, this formalization is written in a second-order formula and therefore is not computable in general. To make it computable, we have to introduce some restriction. In this paper, we propose a semantic restriction. By semantic restriction, we mean that we fix the considered domain so that interpretations of domain-dependent relations are fixed, and soft and hard constraints contain only domain-dependent relations. If we accept this restriction, the soft constraints can be expressed in a first- order formula
Moreover, there is already a proposed mechanism suitable for computing such restricted soft constraints in the literature, that is, hierarchical constraint logic programming languages (HCLP languages) [2,9]. Firstly, we identify a solution to constraint hierarchy defined by HCLP languages with the most preferable solution for semantically-restricted soft constraints. Then, we provide an algorithm for calculating all the most preferable solutions for soft constraints without any redundant calls of constraint solver. Then, we show examples of computing soft constraints by using our HCLP language named CHAL (Constraintes Hierarchiques avec Logique) [9].
Physical Description:19 S.

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