£120.70

Springer - Engineering Intelligent Hybrid Multi-Agent Systems

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Description

Explore the complexities of building intelligent hybrid systems with Engineering Intelligent Hybrid Multi-Agent Systems from Springer. This book provides a deep look into the design concepts and applications of fusion, transformation, and combination systems. It is an essential resource for understanding how different computational methods work together to solve complex problems. The text covers a wide range of technical areas, including knowledge-based systems, case-based reasoning, fuzzy systems, and artificial neural networks. Readers will also find detailed information on genetic algorithms, knowledge discovery, and data mining. By using various examples and applications, the book demonstrates how these subjects create a synergy for advanced engineering tasks. Authors introduce a multi-agent architectural theory designed for engineering purposes, providing a structured approach to system development. Whether you are studying hybrid configurations or looking for practical applications of multi-agent systems, this book offers a comprehensive guide to the field.

Key Features

Covers essential design concepts for fusion, transformation, and combination systems used in intelligent hybrid modeling.

Provides technical depth in knowledge-based systems, case-based reasoning, and fuzzy systems applications.

Explores the integration of artificial neural networks and genetic algorithms for advanced computational tasks.

Includes detailed information on knowledge discovery and data mining techniques within hybrid environments.

Introduces a specific multi-agent architectural theory designed for engineering and system development.

Uses practical examples to demonstrate the synergy between various intelligent system subjects.

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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