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Planning and Learning by Analogical Reasoning : Lecture Notes in Artificial Intelligence - Manuela M. Veloso

Planning and Learning by Analogical Reasoning

Lecture Notes in Artificial Intelligence

Paperback Published: 7th December 1994
ISBN: 9783540588115
Number Of Pages: 190

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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.

Introductionp. 1
Overviewp. 15
The Problem Solverp. 33
Generation of Problem Solving Casesp. 53
Case Storage: Automated Indexingp. 67
Efficient Case Retrievalp. 91
Analogical Replayp. 111
Empirical Resultsp. 141
Related Workp. 163
Conclusionp. 169
Bibliographyp. 173
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9783540588115
ISBN-10: 3540588116
Series: Lecture Notes in Artificial Intelligence
Audience: Professional
Format: Paperback
Language: English
Number Of Pages: 190
Published: 7th December 1994
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.5 x 15.5  x 1.0
Weight (kg): 0.65

Earn 415 Qantas Points
on this Book