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Physica Changes of Problem Representation: Theory and Experiments

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Description

Explore the fundamental mechanics of artificial intelligence with Changes of Problem Representation: Theory and Experiments. Part of the Studies in Fuzziness and Soft Computing series (Volume 110), this research focuses on increasing the efficiency of AI problem solvers through the automation of representation changes. Understanding how a problem is described is essential for computational success. This work addresses the reality that the same problem can vary in difficulty based on its description and the search algorithm applied. By developing systems that improve input problem descriptions and select the most appropriate search algorithms for specific tasks, this text provides a foundation for more effective AI systems. This volume is designed for researchers and professionals interested in the automatic improvement of problem descriptions and the optimization of search processes within AI and machine learning frameworks. It provides a technical look at how changing representations can transform the performance of complex solvers.

Key Features

Focuses on enhancing AI efficiency by automating the process of representation changes for better problem-solving results.

Explores the direct link between how a problem is described and the difficulty encountered by search algorithms.

Provides research on systems that automatically improve problem descriptions to optimize computational performance.

Includes methodologies for selecting the most appropriate search algorithm based on the specific requirements of a given problem.

Part of the Studies in Fuzziness and Soft Computing series, offering specialized knowledge for AI and machine learning researchers.

Product Specifications

Brand
Physica
Format
hardcover
Domain
Amazon UK
Release Date
22 October 2002
Listed Since
15 January 2007

Barcode

No barcode data available

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