Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2014, Issue 3, Pages 21–31 (Mi iipr361)  

Methods of reasoning and knowledge representation

Constraint inference based on the matrix representation of finite predicates

A. A. Zuenko

Institute for Informatics and Mathematical Modelling at the Kola Science Centre of the Russian Academy of Sciences, Apatity, Murmanskaya obl.
Abstract: This paper proposes methods of constraint inference and heuristic search for solving constraint satisfaction problems with the variables defined on finite domains. The developed methods use the matrix representation of finite predicates which allow to not convert constraints into binary relations and implement an effective reduction of the search space.
Keywords: constraint satisfaction problem, algebra of n-tuples, reduction of the search space, heuristic search, combinatorial search.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. A. Zuenko, “Constraint inference based on the matrix representation of finite predicates”, Artificial Intelligence and Decision Making, 2014, no. 3, 21–31
Citation in format AMSBIB
\Bibitem{Zue14}
\by A.~A.~Zuenko
\paper Constraint inference based on the matrix representation of finite predicates
\jour Artificial Intelligence and Decision Making
\yr 2014
\issue 3
\pages 21--31
\mathnet{http://mi.mathnet.ru/iipr361}
\elib{https://elibrary.ru/item.asp?id=21945200}
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  • https://www.mathnet.ru/eng/iipr/y2014/i3/p21
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