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… Altro …
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. Costi di spedizione:Worldwide free shipping, , DE. (EUR 0.00) Details...
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Fink, Eugene: Changes of Problem Representation: Theory and Experiments. (=Studies in Fuzziness and Soft Computing; 110). - copertina rigida, flessible
Fink, Eugene: Changes of Problem Representation: Theory and Experiments. (=Studies in Fuzziness and Soft Computing; 110). - copertina rigida, flessible
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… Altro …
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. Costi di spedizione:Worldwide free shipping, , DE. (EUR 0.00)
Fink, Eugene: Changes of Problem Representation: Theory and Experiments. (=Studies in Fuzziness and Soft Computing; 110). - copertina rigida, flessible
Fink, Eugene: Changes of Problem Representation: Theory and Experiments. (=Studies in Fuzziness and Soft Computing; 110). - copertina rigida, flessible
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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.
Informazioni dettagliate del libro - Changes of Problem Representation
EAN (ISBN-13): 9783790815238 ISBN (ISBN-10): 3790815233 Copertina rigida Copertina flessibile Anno di pubblicazione: 2002 Editore: Physica 372 Pagine Peso: 0,719 kg Lingua: eng/Englisch
Libro nella banca dati dal 2007-01-10T17:43:07+01:00 (Zurich) Pagina di dettaglio ultima modifica in 2024-02-16T10:28:47+01:00 (Zurich) ISBN/EAN: 3790815233
ISBN - Stili di scrittura alternativi: 3-7908-1523-3, 978-3-7908-1523-8 Stili di scrittura alternativi e concetti di ricerca simili: Autore del libro : fink eugen Titolo del libro: representation theory and, soft computing, changes, problem, 110 and
Dati dell'editore
Autore: Eugene Fink Titolo: Studies in Fuzziness and Soft Computing; Changes of Problem Representation - Theory and Experiments Editore: Physica; Physica 358 Pagine Anno di pubblicazione: 2002-10-22 Heidelberg; DE Peso: 1,550 kg Lingua: Inglese 160,49 € (DE) 164,99 € (AT) 177,00 CHF (CH) POD XIII, 358 p.