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Table of contents (6 chapters)
Keywords
About this book
The key to this reasoning method, then, is remembering. Remembering has two parts: integrating cases or experiences into memory when they happen and recalling them in appropriate situations later on. The case-based reasoning community calls this related set of issues the indexing problem. In broad terms, it means finding in memory the experience closest to a new situation. In narrower terms, it can be described as a two-part problem:
- assigning indexes or labels to experiences when they are put into memory that describe the situations to which they are applicable, so that they can be recalled later; and
- at recall time, elaborating the new situation in enough detail so that the indexes it would have if it were in the memory are identified.
Editors and Affiliations
Bibliographic Information
Book Title: Case-Based Learning
Editors: Janet L. Kolodner
DOI: https://doi.org/10.1007/978-1-4615-3228-6
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1993
Hardcover ISBN: 978-0-7923-9343-6Published: 30 April 1993
Softcover ISBN: 978-1-4613-6418-4Published: 13 July 2013
eBook ISBN: 978-1-4615-3228-6Published: 06 December 2012
Edition Number: 1
Number of Pages: III, 171
Topics: Programming Languages, Compilers, Interpreters, Computer Science, general, Artificial Intelligence