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… Meer...
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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Fink, Eugene: Changes of Problem Representation: Theory and Experiments. (=Studies in Fuzziness and Soft Computing; 110). - gebonden uitgave, pocketboek
Fink, Eugene: Changes of Problem Representation: Theory and Experiments. (=Studies in Fuzziness and Soft Computing; 110). - gebonden uitgave, pocketboek
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… Meer...
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. Verzendingskosten:Worldwide free shipping, , DE. (EUR 0.00)
Fink, Eugene: Changes of Problem Representation: Theory and Experiments. (=Studies in Fuzziness and Soft Computing; 110). - gebonden uitgave, pocketboek
Fink, Eugene: Changes of Problem Representation: Theory and Experiments. (=Studies in Fuzziness and Soft Computing; 110). - gebonden uitgave, pocketboek
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Bibliografische gegevens van het best passende boek
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.
Gedetalleerde informatie over het boek. - Changes of Problem Representation
EAN (ISBN-13): 9783790815238 ISBN (ISBN-10): 3790815233 Gebonden uitgave pocket book Verschijningsjaar: 2002 Uitgever: Physica 372 Bladzijden Gewicht: 0,719 kg Taal: eng/Englisch
Boek bevindt zich in het datenbestand sinds 2007-01-10T17:43:07+01:00 (Amsterdam) Detailpagina laatst gewijzigd op 2024-02-16T10:28:47+01:00 (Amsterdam) ISBN/EAN: 9783790815238
ISBN - alternatieve schrijfwijzen: 3-7908-1523-3, 978-3-7908-1523-8 alternatieve schrijfwijzen en verwante zoekwoorden: Auteur van het boek: fink eugen Titel van het boek: representation theory and, soft computing, changes, problem, 110 and
Gegevens van de uitgever
Auteur: Eugene Fink Titel: Studies in Fuzziness and Soft Computing; Changes of Problem Representation - Theory and Experiments Uitgeverij: Physica; Physica 358 Bladzijden Verschijningsjaar: 2002-10-22 Heidelberg; DE Taal: Engels 160,49 € (DE) 164,99 € (AT) 177,00 CHF (CH) Available XIII, 358 p.
