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Item Details
Title: CHANGES OF PROBLEM REPRESENTATION
THEORY AND EXPERIMENTS
By: Eugene Fink
Format: Hardback

List price: £139.99


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ISBN 10: 3790815233
ISBN 13: 9783790815238
Publisher: SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG
Pub. date: 22 October, 2002
Edition: 2002 ed.
Series: Studies in Fuzziness and Soft Computing 110
Pages: 358
Description: Proposing techniques for automatic improvement of problem representation based on integration of multiple learning and problem-solving algorithms, this title gives theoretical foundations of proposed techniques. It describes their implementation, and discusses empirical evidence of their utility.
Synopsis: The purpose of our research is to enhance the efficiency of AI problem solvers by automating representation changes. We have developed a system that improves the description of input problems and selects an appropriate search algorithm for each given problem. Motivation. Researchers have accumulated much evidence on the impor- tance of appropriate representations for the efficiency of AI systems. The same problem may be easy or difficult, depending on the way we describe it and on the search algorithm we use. Previous work on the automatic im- provement of problem descriptions has mostly been limited to the design of individual learning algorithms. The user has traditionally been responsible for the choice of algorithms appropriate for a given problem. We present a system that integrates multiple description-changing and problem-solving algorithms. The purpose of the reported work is to formalize the concept of representation and to confirm the following hypothesis: An effective representation-changing system can be built from three parts: * a library of problem-solving algorithms; * a library of algorithms that improve problem descriptions; * a control module that selects algorithms for each given problem.
Illustrations: 40 Tables, black and white; XIII, 358 p.
Publication: Germany
Imprint: Physica-Verlag GmbH & Co
Returns: Returnable
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