The mind-brain continuum: Sensory processes: Edited by Rodolfo Llinás and Patricia S. Churchland. MIT Press, Cambridge, MA. (1996). 315 pages. $50.00
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 106 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0898-1221
No coin nor oath required. For personal study only.
✦ Synopsis
Case-Based ReasoninQ: Experiences. Lessons. ~ Future Directions. Edited by David B. Leake. AAAI Press/ MIT Press, Menlo Park, CA/Cambridge, MA. (1996). 420 pages. $40.00.
Contents:
Contributors. Preface. 1. CBR in context: The present and future (David B. Leake). 2. A tutorial introduction to case-based reasoning (Janet L. Kolodner and David B. Leake). 3. Indexing evaluations of buildings to aid conceptual design (Anna L. Griffith and Eric A. Domeshek). 4. Towards more creative case-based design systems (Linda M. Wills and Janet L. Kolodner). 5. Retrieving stories for case-based teaching (Robin Burke and Alex Kass). 6. Using heuristic search to retrieve cases that support arguments (Edwina L. Rissland, David B. Shalak and M. Timur Friedman). 7. A case-basod approach to knowledge navigation (Kristian J. Hammond, Robin Burke and Kathryn Schmitt). 8. Flexible strategy learning using analogical replay of problem solving episodes (Manuela M. Veloso). 9. Design ~ la d~jh vu: Reducing the adaptation overhead (Barry Smythe and Mark T. Keane). 10. Multi-plan retrieval and adaptation in an experience-based agent (Ashwin Ram and Anthony G. Francis, Jr.). 11. Learning to improve case adaptation by introspective reasoning and CBR (David B. Leake, Andrew Kinley and David Wilson). 12. Systematic evaluation of design decisions in case-based reasoning systems (Juan Carlos Santamarfa and Ashwin Ram). 13. The experience sharing architecture: A case study in corporate-wide case-basod software quality control (Hiroaki Kitano and Hideo Shimazu). 14. Case-based reasoning: Expectations and results (William Mark, Evangelos Simoudis and David Hinkle). 15. Goal-reasoning scenarios: Case-based reasoning meets learning by doing (Roger C. Schank). 16. Making the implicit explicit: Clarifying the principles of case-based reasoning (Janet L. Kolodner). 17. What next? The future of case-based reasoning in postmodern AI (Christopher K. Riesbeck). Bibliography. Index.