Using case-base data to learn adaptation knowledge for design

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2001, Pages 1011-1016

  Jarmulak, Jacek ^a   Craw, Susan ^a   Rowe, Ray ^b  

^a ROBERT GORDON UNIVERSITY   (United Kingdom)

^b ASTRAZENECA   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTATION KNOWLEDGE; AUTOMATIC ADAPTATION; CASEBASED REASONINGS (CBR); CBR; CBR SYSTEMS; DESIGN PROBLEMS; NUMERICAL VALUES; TABLET FORMULATIONS;

ARTIFICIAL INTELLIGENCE; NUMERICAL METHODS; TOOLS;

DESIGN;

EID: 84880906512     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

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3. Kathleen Hanney and Mark T. Keane. The adaptation knowledge bottleneck: How to ease it by learning from cases. In Proc. 2nd International Conference on CBR, pages 359-370, 1997. Springer.
4. Jacek Jarmulak, Susan Craw, and Ray Rowe. Genetic algorithms to optimise CBR retrieval. In Proc. 5th European Workshop on CBR, pages 136-147, 2000. Springer.
5. Janet Kolodner. Improving human decision making through case-based decision aiding. AI Magazine, 12(2):52-68, 1991. (Pubitemid 21670177)
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11. Barry Smyth and Elizabeth McKenna. Building compact competent case-bases. In Proc. 3rd International Conference on CBR, pages 329-342. Springer, 1999.
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