Changes of Problem Representation: Theory and Experiments: 110 (Studies in Fuzziness and Soft Computing, 110) - Tapa dura

Fink, Eugene

 
9783790815238: Changes of Problem Representation: Theory and Experiments: 110 (Studies in Fuzziness and Soft Computing, 110)
Tapa dura
ISBN 10: 3790815233 ISBN 13: 9783790815238
Editorial: Physica, 2002

Sinopsis

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.

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Reseña del editor

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.

Reseña del editor

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.

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Editorial
Physica
Año de publicación
2002
Idioma
Inglés
ISBN 10 
3790815233
ISBN 13 
9783790815238
Encuadernación
Tapa dura
Número de páginas
376
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Alemania

Otras ediciones populares con el mismo título

9783790825183: Changes of Problem Representation: Theory and Experiments: 110 (Studies in Fuzziness and Soft Computing)

Edición Destacada

ISBN 10:  3790825182 ISBN 13:  9783790825183
Editorial: Physica, 2010
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