Lecture Notes in Artificial Intelligence
cover

Planning and Learning by Analogical Reasoning

Authors: Veloso, Manuela M.

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About this book

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.

Table of contents (10 chapters)

Table of contents (10 chapters)
  • 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

Buy this book

eBook $74.99
price for USA in USD (gross)
  • The eBook version of this title will be available soon
  • ISBN 978-3-540-49109-5
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.00
price for USA in USD
  • ISBN 978-3-540-58811-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Planning and Learning by Analogical Reasoning
Authors
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
886
Copyright
1994
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-49109-5
DOI
10.1007/3-540-58811-6
Softcover ISBN
978-3-540-58811-5
Edition Number
1
Number of Pages
XIV, 190
Topics