A new approach for the incremental development of adaptation functions for CBR

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1898, Issue , 2000, Pages 260-272

  Khan, Abdus Salam ^a   Hoffmann, Achim ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

KNOWLEDGE BASED SYSTEMS;

BUILDING COMPLEXES; CASE BASED REASONING SYSTEMS; CBR APPLICATIONS; DOMAIN EXPERTS; INCREMENTAL DEVELOPMENT; INCREMENTAL METHOD; NEW APPROACHES; RIPPLE DOWN RULES;

CASE BASED REASONING;

EID: 84948145088     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44527-7_23     Document Type: Conference Paper

References (11)

1. R. Bergmann, S. Breen, E. Fayol, M. Goker, M. Manago, S. Schmitt, J. Schumacher, A. Stahl, S. Wess, and W. Wilke. Collecting experience on the systematic development of CBR applications using the INRECA methodology. In Proceedings of the European Workshop on Case-Based Reasoning, EWCBR98, 1998.
2. Paul Compton, Glen Edwards, Byeong Kang, Leslie Lazarus, Ron Malor, Phil Preston, and Ashwin Srinivasan. Ripple down rules: Turning knowledge acquisition into knowledge maintenance. Artificial Intelligence in Medicine, 4:463-475, 1992.
3. Paul Compton, Byeong Kang, Phil Preston, and Mary Mulholland. Knowledge acquisition without knowledge analysis. In Proceedings of the European Knowledge Acquisition Workshop, pages 277-299. Springer-Verlag, 1993.
4. K. Hanney and M. T. Keane. When do you need adaptation?: A review of current practice. In AAAI-95 Fall Symposium on Adaptation in Knowledge Reuse, Boston, U.S.A., 1995.
5. Beyong Kang and Paul Compton. A maintenance approach to case-based reasoning. In J. P. Haton, K. Keane, and M. Manago, editors, Advances in Case-Based Reasoning, pages 226-239. Springer-Verlag, 1995.
6. A. S. Khan and A. Hoffmann. Incremental acquisition of retrieval knowledge for case-based reasoning. In Proceedings of the Fourth Australian Knowledge Acquisition Workshop, pages 72-86, Sydney, Australia, December 5-6 1999. University of New South Wales.
7. D. B. Leake. Combining rules and cases to learn case adaptation. In Proceedings of the Seventeenth Annual Conference of the Cognitive Science, pages 84-89, 1995.
8. D. B. Leake. Case-Based Reasoning: Experiences, Lessons, and Future Directions. Menlo Park: AAAI Press, 1996.
9. W. Wilke and R. Bergmann. Techniques and knowledge used for adaptation during case-based problem solving. In (AIPS’98) Workshop on Integrating Planning, Scheduling and Execution in dynamic and uncertain Environment. AAAI press, 1996.
10. W. Wilke and R. Bergmann. Techniques and knowledge used for adaptation during case-based problem solving. In 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert System, 1998.
11. W. Wilke, I. Vollrath, K. Althoff, and R. Bergmann. A framework for learning adaptation knowledge based on knowledge light approaches. In 5th German Workshop on Case-Based Reasoning (GWCBR’97), 1997.