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Springer Engineering Intelligent Hybrid Multi-Agent Systems - Springer

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9 days 61 days · current 0 15 31 46 61 £114 £118 Days at Price

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Price levels: 2 different prices over 70 days

Description

Engineering Intelligent Hybrid Multi-Agent Systems is a comprehensive guide to designing and building intelligent hybrid systems that combine multiple computational approaches for enhanced problem-solving capabilities. This Springer publication covers the theoretical foundations and practical applications of fusion, transformation, and combination systems, integrating knowledge-based systems, case-based reasoning, fuzzy systems, artificial neural networks, genetic algorithms, and data mining techniques. Through detailed examples and real-world applications, the book demonstrates how these diverse methodologies work synergistically to create more powerful intelligent systems. The authors present a multi-agent architectural theory specifically designed for engineering these complex hybrid systems, providing both the conceptual framework and actionable insights needed to implement advanced solutions in modern computing environments.

Key Features

Covers hybrid system design concepts including fusion, transformation, and combination approaches for knowledge-based architectures.

Integrates multiple intelligent technologies such as case-based reasoning, fuzzy systems, artificial neural networks, and genetic algorithms.

Includes knowledge discovery and data mining applications that demonstrate practical synergies across different computational methods.

Presents a multi-agent architectural theory by the authors that provides structured guidance for engineering intelligent hybrid systems.

Combines theoretical foundations with worked examples and real-world applications throughout the Springer publication.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 September 1997
Listed Since
15 December 2006

Barcode

No barcode data available

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