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Erschienen in:
2002 | OriginalPaper | Buchkapitel
The Adaptive Constraint Engine
verfasst von : Susan L. Epstein, Eugene C. Freuder, Richard Wallace, Anton Morozov, Bruce Samuels
Erschienen in: Principles and Practice of Constraint Programming - CP 2002
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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The Adaptive Constraint Engine (ACE) seeks to automate the application of constraint programming expertise and the extraction of domain-specific expertise. Under the aegis of FORR, an architecture for learning and problem-solving, ACE learns search-order heuristics from problem solving experience. This paper describes ACE’s approach, as well as new experimental results on specific problem classes. ACE is both a test-bed for CSP research and a discovery environment for new algorithms.