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Engineering Intelligent Hybrid Multi-Agent Systems / Edition 1

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Engineering Intelligent Hybrid Multi-Agent Systems is about building intelligent hybrid system. Included is coverage of applications and design concepts related to fusions system, 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. 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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Editorial Reviews

A reference for practitioners and researchers, or a textbook for graduate students in intelligent hybrid systems, control systems, multi-agent systems, knowledge discovery and data mining, software engineering, and enterprise-wide systems modeling. Describes applications and design concepts of intelligent hybrid systems related to fusion, transformation, and combination systems; an architectural theory for engineering intelligent associative hybrid, multi-agent systems at the task-structure and computation levels; the role of objects, agents, and problem solving in knowledge, information, and data engineering; and an enterprise-wide systems modeling framework to facilitate the forward and backward integration of systems developed in the knowledge, information, and data engineering layers of an organization. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

  • ISBN-13: 9780792399827
  • Publisher: Springer US
  • Publication date: 9/28/1997
  • Edition description: 1997
  • Edition number: 1
  • Pages: 410
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.94 (d)

Table of Contents

1 Why Intelligent Hybrid Systems 1
2 Methodologies 17
3 Intelligent Fusion and Transformation Systems 59
4 Intelligent Combination Systems 105
5 Knowledge Discovery, Data Mining and Hybrid Systems 143
6 Association Systems - Task Structure Level Associative Hybrid Architecture 179
7 Intelligent Multi-Agent Hybrid Computational Architecture - Part I 205
8 Intelligent Multi-Agent Hybrid Computational Architecture - Part II 225
9 Alarm Processing - An Application of IMAHDA 269
10 Agent Oriented Analysis and Design of the RTAPS - Part I 287
11 Agent Oriented Analysis and Design of the RTAPS - Part II 311
12 RTAPS Implementation 341
13 From Data Repositories to Knowledge Repositories 367
14 IMAHDA Revisited 389
App. A Input Features of the Animal Domain 397
App. B Classes in the Animal Domain 398
App. C TTS Power Network 399
App. D TTS Substation Power Network 400
App. E Real Time Alarm Data 401
Index 407
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