The adaptation knowledge bottleneck: How to ease it by learning from cases

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

Volumn 1266, Issue , 1997, Pages 359-370

  Hanney, Kathleen ^a   Keane, Mark T ^a  

^a TRINITY COLLEGE DUBLIN   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

COST ENGINEERING; KNOWLEDGE ENGINEERING;

ADAPTATION KNOWLEDGE; ADAPTATION RULES; CBR SYSTEMS; DOMAIN KNOWLEDGE; INDUCTIVE TECHNIQUE;

CASE BASED REASONING;

EID: 84957587786     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-63233-6_506     Document Type: Conference Paper

References (12)

1. Agrawal R., Mannila H., Srikant R., Toivonen H., Verkamo A.: Fast Discovery of Association Rules. In Fayyad U., Piatetsky-Shapiro G., Smyth P., Uthurusamy R. (Ed.) Advances in Knowledge Discovery and Data Mining. AAAI Press/The MIT Press (1996)
2. Hammond K.:Case-Based Planning: Viewing Planning as a Memory Task. Boston: Academic Press (1989)
3. Hanney K., Keane M.T., Smyth B., Cunningham P.: Systems, Tasks and Adaptation Knowledge: Revealing some Revealing dependencies. In Proceedings of the First International Conference on Case-based Reasoning (1995) 461-470.
4. Hanney K. and Keane M.T.: Learning Adaptation Rules from a Case-Base. In Proceedings of the Third European Workshop on Case-based Reasoning (1996) 179-192.
5. Hanney K.: Learning Adaptation Rules from Cases. MSc Thesis, Computer Science Department, Trinity College Dublin
6. Langley, P.: Elements of Machine Learning. Morgan Kaufmann (1996)
7. Leake D., Kinley A., Wilson D.: Learning to Improve Case Adaptation by Introspective Reasoning and CBR. In Proceedings of the First International Conference on Case-based Reasoning (1995) 229-240.
8. Michalski R.: A Theory and Methodology of Inductive Learning. In R. Michalski, J. Carbonell, T. Mitchell (Ed.) Machine Learning: An Artificial Intelligence Approach Vol. 1. Morgan Kaufmann (1983)
9. Smyth B. 1996. Case-based Design. Ph.D. Dissertation, Computer Science Department, Trinity College Dublin.
10. Smyth B., Keane M.T.: Retrieving Adaptable Cases: The Role of Adaptation Knowledge in Case Retrieval. In Topics in Case-Based Reasoning: Lecture Notes in Artifical Intelligence 837. Springer Verlag (1994) 209-220.
11. Smyth B., Keane M.T.: Remembering to Forget: A Competence-Preserving Deletion Policy in Case-Based Systems. In Proceedings International Joint Conference on Artificial Intelligence, Montreal. (1995).
12. Sycara E.P.: Using Case-Based Reasoning for Plan Adaptation and Repair. In Proceedings: Case-Based Reasoning Workshop (1988) 425-434.