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Engineering Intelligent Hybrid Multi-Agent Systems

By: Rajiv Khosla

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Hardcover | 1 January 1997

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Hardcover
436 Pages

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23.39 x 15.6 x 2.39

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Engineering Intelligent Hybrid Multi-Agent Systems is about building intelligent hybrid systems. Included is coverage of applications and design concepts related to fusion systems, transformation systems and combination systems. These applications are in areas involving hybrid configurations of knowledge-based systems, case-based reasoning, fuzzy systems, artificial neural networks, genetic algorithms, and in knowledge discovery and data mining. Through examples and applications a synergy of these subjects is demonstrated.
The authors introduce a multi-agent architectural theory for engineering intelligent associative hybrid systems. The architectural theory is described at both the task structure level and the computational level. This problem-solving architecture is relevant for developing knowledge agents and information agents.
An enterprise-wide system modeling framework is outlined to facilitate forward and backward integration of systems developed in the knowledge, information, and data engineering layers of an organization. In the modeling process, software engineering aspects like agent oriented analysis, design and reuse are developed and described.
Engineering Intelligent Hybrid Multi-Agent Systems is the first book in the field to provide details of a multi-agent architecture for building intelligent hybrid systems.

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Paperback

Published: 26th November 2012

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Preface
Acknowledgments
Why Intelligent Hybrid Systems	p. 1
Methodologies	p. 17
Intelligent Fusion and Transformation Systems	p. 59
Intelligent Combination Systems	p. 105
Knowledge Discovery, Data Mining and Hybrid Systems	p. 143
Association Systems - Task Structure Level Associative Hybrid Architecture	p. 179
Intelligent Multi-Agent Hybrid Computational Architecture - Part I	p. 205
Intelligent Multi-Agent Hybrid Computational Architecture - Part II	p. 225
Alarm Processing - An Application of IMAHDA	p. 269
Agent Oriented Analysis and Design of the RTAPS - Part I	p. 287
Agent Oriented Analysis and Design of the RTAPS - Part II	p. 311
RTAPS Implementation	p. 341
From Data Repositories to Knowledge Repositories	p. 367
IMAHDA Revisited	p. 389
Input Features of the Animal Domain	p. 397
Classes in the Animal Domain	p. 398
TTS Power Network	p. 399
TTS Substation Power Network	p. 400
Real Time Alarm Data	p. 401
Index	p. 407
Table of Contents provided by Blackwell. All Rights Reserved.

Engineering Intelligent Hybrid Multi-Agent Systems

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Hardcover

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