ENGLISH

Planning and Learning by Analogical Reasoning

By Manuela M. Veloso (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
1994
ISBN
3540588116, 9783540588115, 0387588116
DOI
10.1007/3-540-58811-6
LCC
Q325.5 .V45 1994
Open Library ID
OL1117778M
Language
english
Format
DJVU
Filesize
1 MB (1399641 bytes)
Series
Lecture Notes in Computer Science 886 : Lecture Notes in Artificial Intelligence
Edition
1
Pages
190\190
Topic
Education
Library
Kolxo3
DPI
300
Time added
2010-02-05 01:51:52
Computing Methodologies

Description

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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