Techniques and knowledge used for adaptation during case-based problem solving

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

Volumn 1416, Issue , 1998, Pages 497-506

  Wilke, Wolfgang ^a   Bergmann, Ralph ^a  

^a Rheinland Pfälzische Technische Universität Kaiserslautern Landau   (Germany)

Author keywords

Adaptation; Case based reasoning; Knowledge modeling

Indexed keywords

ARTIFICIAL INTELLIGENCE; CASE BASED REASONING; EXPERT SYSTEMS;

ADAPTATION; ADAPTATION TECHNIQUES; CASE BASED; CURRENT MODELS; KNOWLEDGE MODEL; PROCESS MODELING;

PROBLEM SOLVING;

EID: 84958033517     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-64574-8_435     Document Type: Conference Paper

References (25)

1. Bain, W. M. (1986). A Case-Based Reasoning System for Subjective Assessment. In Proceedings of the 5th Annual National Conference on Artificial Intelligence AAAI-86, pages 523-527, Philadelphia, Pennsylvania, USA. AAAI86, Morgan Kaufmann Publishers.
2. Barletta, R. and Hennessy, D. (1989). Case adaptation in autoclave layout design. In (Hammond, 1989), pages 203-207.
3. Bergmann, R. and Wilke, W. (1995). Learning abstract planning cases. In LavraS, N. and Wrobel, S., editors, Machine Learning: ECML- 95, 8th European Conference on Machine Learning, Heraclion, Greece, April 1995, number 912 in Lecture Notes in Artificial Intelligence, pages 55-76. Springer, Berlin.
4. Bergmann, R. and Wilke, W. (1996). Paris: Flexible plan adaptation by abstraction and refinement. ECAI 1996 Workshop on Adaptation ind Case-Based Reasoning.
5. Branting, K. L. and Aha, D. W. (1995). Stratified case based reasoning: Reusing hierarchical; problem solving eposides. Technical Report AIC-95-001, Naval Research Lab.
6. Carbonell, J. G. (1983). Derivational Analogy and Its Role in Problem Solving. In Proceedings of the 3rd Annual National Conference on Artificial Intelligence AAAI-83, Washington, D.C., USA, August 1983. AAAI, Morgan Kaufmann Publishers.
7. Goel, A. K. and Chandrasekaran, B. (1989). Use of Device Models in Adaption of Design Cases. In (Hammond, 1989), pages 100-109.
8. Hammond, K. J., editor (1989). Proceedings: Case-Based Reasoning Workshop. Morgan Kaufmann Publishers.
9. Hanney, K., Keane, M. T., Smyth, B., and Cunningham, P. (1995). Systems, tasks and adaptation knowledge: revealing some revealing dependencies. In Veloso, M. and Aamodt, A., editors, Case Based Reasoning Research and Development: First International Conference, ICCBR-95, pages 461-470. Springer, Berlin.
10. Hennessy, D. and Hinkle, D. (1991). Initial results from clavier: A case-based autoclave loading assistent. In Case-Based Reasoning, Proceedings of a Workshop, pages 225-232, Washington, D.C. DARPA, Morgan Kaufmann, San Mateo.
11. Kolodner, J. L. (1993). Case-Based Reasoning. Morgan Kaufmann, San Mateo.
12. Leake, D. B., editor (1996). Case-Based Reasoning: Experiences, Lessons, and Future Directions. AAAI Press, Menlo Park, CA.
13. Maher, M. L. and Zang, D. M. (1993). Cadsyn: A case-based design process model. In Process Model. Artificial Intelligence for Engineering Design, Analysis, and Manufacturing, volume 7(2), pages 97-110.
14. Mufioz, H. and Weberskirch, F. (1996). Planning ibr manufacturing workpieces by storing, indexing and replaying planning decisions. In Proc. 3rd Int. Conference on AI Planning Systems (AIPS-96). AAAI-Press.
15. Purvis, L. and Pu, P. (1995). Adaptation using constraint satisfaction techniques. In Veloso, M. and Aamodt, A., editors, Case Based Reasoning Research and Development: First International Conference, ICCBR-95, pages 289-300. Springer, Berlin.
16. Purvis, L. and Pu, P. (1996). An approach to case combination. In Proceedings of the Adaptation in Case Based Reasoning Workshop of the European Conference on Artificial Intelligence (ECAI96), Budapest Hungary. http://wwwagr.informatik.uni-kl.de/-bergmann/adapt-papers.html.
17. Redmond, M. (1990). Distributed Cases for Case-Based Reasoning; Facilitating Use of Multiple Cases. In AAAI, editor, Proceedings of the Annual National Conference on Artificial Intelligence AAAI-90, pages 304-309, Boston, Massachusetts, USA. AAAI, Morgan Kaufmann Publishers.
18. Richter, M. M. (1995). The knowledge contained in similarity measures. Invited Talk on the ICCBR-95. http://wwwagr.informatik.uni-kl.de/-lsa/CBR/Richtericcbr95remarks.html.
19. Smyth, B. and Cunningham, P. (1992). Déjà. Vu: a hierarchical case-based reasoning system for software design. In Neumann, B., editor, ECAI 92: l0th European Conference on Artificial Intelligence, August 1992, Vienna, pages 587-589. Wiley, Chichester.
20. Smyth, B. and Keane, M. T. (1996). Using adaptation knowledge to retrieve and adapt design cases. Journal of Knowledge Based Systems.
21. Sycara, K. P. and Navinchandra, D. (1991). Influences: A thematic abstraction for the creative reuse of multiple cases. In Proceedings of the Case-Based Reasoning Workshop, pages 133-144, Washington D.C., USA.
22. Thompson, V. (1997). Corporate memories. Byte, International Edition, pages 321S-7-12.
23. Veloso, M. M. (1994). Planning and Learning by Analogical Reasoning. Number 886 in Lecture Notes in Computer Science. Springer, Berlin.
24. Votl, A. (1996). How to solve complex problems with cases. Engineering Applications of Artificial Intelligence, 9:377-384.
25. Wilke, W. and Bergmann, R. (1996). Incremental adaptation with the inreca-system. ECAI 1996 Workshop on Adaptation ind Case-Based Reasoning. http://wwwagr.informatik.uni-kl.de//~bergmann/adaptquest.html.