LEARNING TO SUPPORT CONSTRAINT PROGRAMMERS
This paper describes the Adaptive Constraint Engine (ACE), an ambitious ongoing research project to support constraint programmers, both human and machine. The program begins with substantial knowledge about constraint satisfaction. The program harnesses a cognitively-oriented architecture (FORR) to...
Ausführliche Beschreibung
Autor*in: |
Epstein, Susan L. [verfasserIn] Freuder, Eugene C. [verfasserIn] Wallace, Richard J. [verfasserIn] |
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E-Artikel |
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Erschienen: |
Boston, USA and Oxford, UK: Blackwell Publishing, Inc. ; 2005 |
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Online-Ressource |
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Reproduktion: |
2005 ; Blackwell Publishing Journal Backfiles 1879-2005 |
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Übergeordnetes Werk: |
In: Computational intelligence - Oxford [u.a.] : Wiley-Blackwell, 1985, 21(2005), 4, Seite 0 |
Übergeordnetes Werk: |
volume:21 ; year:2005 ; number:4 ; pages:0 |
Links: |
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DOI / URN: |
10.1111/j.1467-8640.2005.00277.x |
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10.1111/j.1467-8640.2005.00277.x doi (DE-627)NLEJ242521509 DE-627 ger DE-627 rakwb Epstein, Susan L. verfasserin aut LEARNING TO SUPPORT CONSTRAINT PROGRAMMERS Boston, USA and Oxford, UK Blackwell Publishing, Inc. 2005 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper describes the Adaptive Constraint Engine (ACE), an ambitious ongoing research project to support constraint programmers, both human and machine. The program begins with substantial knowledge about constraint satisfaction. The program harnesses a cognitively-oriented architecture (FORR) to manage search heuristics and to learn new ones. ACE can transfer what it learns on simple problems to solve more difficult ones, and can readily export its knowledge to ordinary constraint solvers. It currently serves both as a learner and as a test bed for the constraint community. 2005 Blackwell Publishing Journal Backfiles 1879-2005 |2005|||||||||| constraint satisfaction Freuder, Eugene C. verfasserin aut Wallace, Richard J. verfasserin aut In Computational intelligence Oxford [u.a.] : Wiley-Blackwell, 1985 21(2005), 4, Seite 0 Online-Ressource (DE-627)NLEJ243926685 (DE-600)2016539-0 1467-8640 nnns volume:21 year:2005 number:4 pages:0 http://dx.doi.org/10.1111/j.1467-8640.2005.00277.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 21 2005 4 0 |
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10.1111/j.1467-8640.2005.00277.x doi (DE-627)NLEJ242521509 DE-627 ger DE-627 rakwb Epstein, Susan L. verfasserin aut LEARNING TO SUPPORT CONSTRAINT PROGRAMMERS Boston, USA and Oxford, UK Blackwell Publishing, Inc. 2005 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper describes the Adaptive Constraint Engine (ACE), an ambitious ongoing research project to support constraint programmers, both human and machine. The program begins with substantial knowledge about constraint satisfaction. The program harnesses a cognitively-oriented architecture (FORR) to manage search heuristics and to learn new ones. ACE can transfer what it learns on simple problems to solve more difficult ones, and can readily export its knowledge to ordinary constraint solvers. It currently serves both as a learner and as a test bed for the constraint community. 2005 Blackwell Publishing Journal Backfiles 1879-2005 |2005|||||||||| constraint satisfaction Freuder, Eugene C. verfasserin aut Wallace, Richard J. verfasserin aut In Computational intelligence Oxford [u.a.] : Wiley-Blackwell, 1985 21(2005), 4, Seite 0 Online-Ressource (DE-627)NLEJ243926685 (DE-600)2016539-0 1467-8640 nnns volume:21 year:2005 number:4 pages:0 http://dx.doi.org/10.1111/j.1467-8640.2005.00277.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 21 2005 4 0 |
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10.1111/j.1467-8640.2005.00277.x doi (DE-627)NLEJ242521509 DE-627 ger DE-627 rakwb Epstein, Susan L. verfasserin aut LEARNING TO SUPPORT CONSTRAINT PROGRAMMERS Boston, USA and Oxford, UK Blackwell Publishing, Inc. 2005 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper describes the Adaptive Constraint Engine (ACE), an ambitious ongoing research project to support constraint programmers, both human and machine. The program begins with substantial knowledge about constraint satisfaction. The program harnesses a cognitively-oriented architecture (FORR) to manage search heuristics and to learn new ones. ACE can transfer what it learns on simple problems to solve more difficult ones, and can readily export its knowledge to ordinary constraint solvers. It currently serves both as a learner and as a test bed for the constraint community. 2005 Blackwell Publishing Journal Backfiles 1879-2005 |2005|||||||||| constraint satisfaction Freuder, Eugene C. verfasserin aut Wallace, Richard J. verfasserin aut In Computational intelligence Oxford [u.a.] : Wiley-Blackwell, 1985 21(2005), 4, Seite 0 Online-Ressource (DE-627)NLEJ243926685 (DE-600)2016539-0 1467-8640 nnns volume:21 year:2005 number:4 pages:0 http://dx.doi.org/10.1111/j.1467-8640.2005.00277.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 21 2005 4 0 |
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10.1111/j.1467-8640.2005.00277.x doi (DE-627)NLEJ242521509 DE-627 ger DE-627 rakwb Epstein, Susan L. verfasserin aut LEARNING TO SUPPORT CONSTRAINT PROGRAMMERS Boston, USA and Oxford, UK Blackwell Publishing, Inc. 2005 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper describes the Adaptive Constraint Engine (ACE), an ambitious ongoing research project to support constraint programmers, both human and machine. The program begins with substantial knowledge about constraint satisfaction. The program harnesses a cognitively-oriented architecture (FORR) to manage search heuristics and to learn new ones. ACE can transfer what it learns on simple problems to solve more difficult ones, and can readily export its knowledge to ordinary constraint solvers. It currently serves both as a learner and as a test bed for the constraint community. 2005 Blackwell Publishing Journal Backfiles 1879-2005 |2005|||||||||| constraint satisfaction Freuder, Eugene C. verfasserin aut Wallace, Richard J. verfasserin aut In Computational intelligence Oxford [u.a.] : Wiley-Blackwell, 1985 21(2005), 4, Seite 0 Online-Ressource (DE-627)NLEJ243926685 (DE-600)2016539-0 1467-8640 nnns volume:21 year:2005 number:4 pages:0 http://dx.doi.org/10.1111/j.1467-8640.2005.00277.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 21 2005 4 0 |
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10.1111/j.1467-8640.2005.00277.x doi (DE-627)NLEJ242521509 DE-627 ger DE-627 rakwb Epstein, Susan L. verfasserin aut LEARNING TO SUPPORT CONSTRAINT PROGRAMMERS Boston, USA and Oxford, UK Blackwell Publishing, Inc. 2005 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper describes the Adaptive Constraint Engine (ACE), an ambitious ongoing research project to support constraint programmers, both human and machine. The program begins with substantial knowledge about constraint satisfaction. The program harnesses a cognitively-oriented architecture (FORR) to manage search heuristics and to learn new ones. ACE can transfer what it learns on simple problems to solve more difficult ones, and can readily export its knowledge to ordinary constraint solvers. It currently serves both as a learner and as a test bed for the constraint community. 2005 Blackwell Publishing Journal Backfiles 1879-2005 |2005|||||||||| constraint satisfaction Freuder, Eugene C. verfasserin aut Wallace, Richard J. verfasserin aut In Computational intelligence Oxford [u.a.] : Wiley-Blackwell, 1985 21(2005), 4, Seite 0 Online-Ressource (DE-627)NLEJ243926685 (DE-600)2016539-0 1467-8640 nnns volume:21 year:2005 number:4 pages:0 http://dx.doi.org/10.1111/j.1467-8640.2005.00277.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 21 2005 4 0 |
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This paper describes the Adaptive Constraint Engine (ACE), an ambitious ongoing research project to support constraint programmers, both human and machine. The program begins with substantial knowledge about constraint satisfaction. The program harnesses a cognitively-oriented architecture (FORR) to manage search heuristics and to learn new ones. ACE can transfer what it learns on simple problems to solve more difficult ones, and can readily export its knowledge to ordinary constraint solvers. It currently serves both as a learner and as a test bed for the constraint community. |
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