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Learning Search Control Knowledge - An Explanation-Based Approach (Hardcover, 1988 ed.)
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Learning Search Control Knowledge - An Explanation-Based Approach (Hardcover, 1988 ed.)
Series: The Springer International Series in Engineering and Computer Science, 61
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The ability to learn from experience is a fundamental requirement
for intelligence. One of the most basic characteristics of human
intelligence is that people can learn from problem solving, so that
they become more adept at solving problems in a given domain as
they gain experience. This book investigates how computers may be
programmed so that they too can learn from experience.
Specifically, the aim is to take a very general, but inefficient,
problem solving system and train it on a set of problems from a
given domain, so that it can transform itself into a specialized,
efficient problem solver for that domain. on a knowledge-intensive
Recently there has been considerable progress made learning
approach, explanation-based learning (EBL), that brings us closer
to this possibility. As demonstrated in this book, EBL can be used
to analyze a problem solving episode in order to acquire control
knowledge. Control knowledge guides the problem solver's search by
indicating the best alternatives to pursue at each choice point. An
EBL system can produce domain specific control knowledge by
explaining why the choices made during a problem solving episode
were, or were not, appropriate.
General
Imprint: |
Kluwer Academic Publishers
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Country of origin: |
United States |
Series: |
The Springer International Series in Engineering and Computer Science, 61 |
Release date: |
October 1988 |
First published: |
1988 |
Authors: |
Steven Minton
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Dimensions: |
234 x 156 x 14mm (L x W x T) |
Format: |
Hardcover
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Pages: |
214 |
Edition: |
1988 ed. |
ISBN-13: |
978-0-89838-294-5 |
Categories: |
Books >
Computing & IT >
Applications of computing >
Artificial intelligence >
Machine learning
|
LSN: |
0-89838-294-7 |
Barcode: |
9780898382945 |
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