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 prob… More...
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., Physica<
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Nr. 978-3-7908-1523-8. Shipping costs:Worldwide free shipping, , DE. (EUR 0.00) Details...
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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 prob… More...
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., Physica<
Nr. 978-3-7908-1523-8. Shipping costs:Worldwide free shipping, , DE. (EUR 0.00)
1As some platforms do not transmit shipping conditions to us and these may depend on the country of delivery, the purchase price, the weight and size of the item, a possible membership of the platform, a direct delivery by the platform or via a third-party provider (Marketplace), etc., it is possible that the shipping costs indicated by euro-book.co.uk / euro-book.co.uk do not correspond to those of the offering platform.
The performance of all reasoning systems crucially depends on problem representation: the same problem may be easy or difficult, depending on the way we describe it. Researchers in psychology and artificial intelligence have accumulated much evidence on the importance of appropriate representations for both human and artificial intelligence systems. The book proposes techniques for automatic improvement of problem representation, which are based on integration of multiple learning and problem-solving algorithms. It gives theoretical foundations of the proposed techniques, describes their implementation, and discusses empirical evidence of their utility.
Details of the book - Changes of Problem Representation
EAN (ISBN-13): 9783790815238 ISBN (ISBN-10): 3790815233 Hardcover Paperback Publishing year: 2002 Publisher: Physica 372 Pages Weight: 0,719 kg Language: eng/Englisch
Book in our database since 2007-01-10T16:43:07+00:00 (London) Detail page last modified on 2024-02-16T09:28:47+00:00 (London) ISBN/EAN: 9783790815238
ISBN - alternate spelling: 3-7908-1523-3, 978-3-7908-1523-8 Alternate spelling and related search-keywords: Book author: fink eugen Book title: representation theory and, soft computing, changes, problem, 110 and
Information from Publisher
Author: Eugene Fink Title: Studies in Fuzziness and Soft Computing; Changes of Problem Representation - Theory and Experiments Publisher: Physica; Physica 358 Pages Publishing year: 2002-10-22 Heidelberg; DE Language: English 160,49 € (DE) 164,99 € (AT) 177,00 CHF (CH) Available XIII, 358 p.
