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… Más…
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. Gastos de envío: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… Más…
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. Gastos de envío:Worldwide free shipping, , DE. (EUR 0.00)
1Dado que algunas plataformas no nos comunican las condiciones de envío y éstas pueden depender del país de entrega, del precio de compra, del peso y tamaño del artículo, de una posible membresía a la plataforma, de una entrega directa por parte de la plataforma o a través de un tercero (Marketplace), etc., es posible que los gastos de envío indicados por eurolibro/terralibro no concuerden con los de la plataforma ofertante.
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.
Detalles del libro - Changes of Problem Representation
EAN (ISBN-13): 9783790815238 ISBN (ISBN-10): 3790815233 Tapa dura Tapa blanda Año de publicación: 2002 Editorial: Physica 372 Páginas Peso: 0,719 kg Idioma: eng/Englisch
Libro en la base de datos desde 2007-01-10T10:43:07-06:00 (Mexico City) Página de detalles modificada por última vez el 2024-02-16T03:28:47-06:00 (Mexico City) ISBN/EAN: 3790815233
ISBN - escritura alterna: 3-7908-1523-3, 978-3-7908-1523-8 Mode alterno de escritura y términos de búsqueda relacionados: Autor del libro: fink eugen Título del libro: representation theory and, soft computing, changes, problem, 110 and
Datos del la editorial
Autor: Eugene Fink Título: Studies in Fuzziness and Soft Computing; Changes of Problem Representation - Theory and Experiments Editorial: Physica; Physica 358 Páginas Año de publicación: 2002-10-22 Heidelberg; DE Idioma: Inglés 160,49 € (DE) 164,99 € (AT) 177,00 CHF (CH) Available XIII, 358 p.
