Planning and Learning by Analogical Reasoning

Manuela M. Veloso (eds.)3540588116, 9783540588115, 0387588116

This research monograph describes the integration of analogical and case-based reasoning into general problem solving and planning as a method of speedup learning. The method, based on derivational analogy, has been fully implemented in PRODIGY/ANALOGY and proven in practice to be amenable to scaling up, both in terms of domain and problem complexity.
In this work, the strategy-level learning process is cast for the first time as the automation of the complete cycle of construction, storing, retrieving, and flexibly reusing problem solving experience. The algorithms involved are presented in detail and numerous examples are given. Thus the book addresses researchers as well as practitioners.

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Table of contents :
Introduction….Pages 1-13
Overview….Pages 15-32
The problem solver….Pages 33-52
Generation of problem solving cases….Pages 53-66
Case storage: Automated indexing….Pages 67-90
Efficient case retrieval….Pages 91-110
Analogical replay….Pages 111-139
Empirical results….Pages 141-162
Related work….Pages 163-168
Conclusion….Pages 169-172