The adaptive constraint engine

Susan L. Epstein; Eugene C. Freuder; Richard Wallace; Anton Morozov; Bruce Samuels

doi:10.1007/3-540-46135-3_35

The adaptive constraint engine

Susan L. Epstein
, Eugene C. Freuder
, Richard Wallace
, Anton Morozov
, Bruce Samuels

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

Abstract

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.

Original language	English
Title of host publication	Principles and Practice of Constraint Programming- CP 2002 - 8th International Conference, CP 2002, Proceedings
Editors	Pascal Van Hentenryck
Publisher	Springer Verlag
Pages	525-540
Number of pages	16
ISBN (Print)	3540441204, 9783540441205
DOIs	https://doi.org/10.1007/3-540-46135-3_35
Publication status	Published - 2002
Event	8th International Conference on Principles and Practice of Constraint Programming, CP 2002 - Ithaca, United States Duration: 9 Sep 2002 → 13 Sep 2002

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2470
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	8th International Conference on Principles and Practice of Constraint Programming, CP 2002
Country/Territory	United States
City	Ithaca
Period	9/09/02 → 13/09/02

Access to Document

10.1007/3-540-46135-3_35

Cite this

Epstein, S. L., Freuder, E. C., Wallace, R., Morozov, A., & Samuels, B. (2002). The adaptive constraint engine. In P. Van Hentenryck (Ed.), Principles and Practice of Constraint Programming- CP 2002 - 8th International Conference, CP 2002, Proceedings (pp. 525-540). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2470). Springer Verlag. https://doi.org/10.1007/3-540-46135-3_35

Epstein, Susan L. ; Freuder, Eugene C. ; Wallace, Richard et al. / The adaptive constraint engine. Principles and Practice of Constraint Programming- CP 2002 - 8th International Conference, CP 2002, Proceedings. editor / Pascal Van Hentenryck. Springer Verlag, 2002. pp. 525-540 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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author = "Epstein, \{Susan L.\} and Freuder, \{Eugene C.\} and Richard Wallace and Anton Morozov and Bruce Samuels",

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Epstein, SL, Freuder, EC, Wallace, R, Morozov, A & Samuels, B 2002, The adaptive constraint engine. in P Van Hentenryck (ed.), Principles and Practice of Constraint Programming- CP 2002 - 8th International Conference, CP 2002, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2470, Springer Verlag, pp. 525-540, 8th International Conference on Principles and Practice of Constraint Programming, CP 2002, Ithaca, United States, 9/09/02. https://doi.org/10.1007/3-540-46135-3_35

The adaptive constraint engine. / Epstein, Susan L.; Freuder, Eugene C.; Wallace, Richard et al.
Principles and Practice of Constraint Programming- CP 2002 - 8th International Conference, CP 2002, Proceedings. ed. / Pascal Van Hentenryck. Springer Verlag, 2002. p. 525-540 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2470).

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

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AB - 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.

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Epstein SL, Freuder EC, Wallace R, Morozov A, Samuels B. The adaptive constraint engine. In Van Hentenryck P, editor, Principles and Practice of Constraint Programming- CP 2002 - 8th International Conference, CP 2002, Proceedings. Springer Verlag. 2002. p. 525-540. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-46135-3_35

The adaptive constraint engine

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