Engineering Intelligent Hybrid Multi-Agent Systems / Edition 1

by Rajiv Khosla

Overview

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.

Product Details

ISBN-13:	9780792399827
Publisher:	Springer US
Publication date:	09/30/1997
Edition description:	1997
Pages:	410
Product dimensions:	6.10(w) x 9.25(h) x 0.04(d)

Table of Contents

1. Why Intelligent Hybrid Systems.- 2. Methodologies.- 3. Intelligent Fusion and Transformation Systems.- 4. Intelligent Combination Systems.- 5. Knowledge Discovery, Data Mining and Hybrid Systems.- 6. Association Systems — Task Structure Level Associative Hybrid Architecture.- 7. Intelligent Multi-Agent Hybrid Computational Architecture — Part I.- 8. Intelligent Multi-Agent Hybrid Computational Architecture — Part II.- 9. Alarm Processing — An Application of IMAHDA.- 10. Agent Oriented Analysis and Design of the RTAPS — Part I.- 11. Agent Oriented Analysis and Design of the RTAPS — Part II.- 12. RTAPS.- 13. From Data Repositories to Knowledge Repositories.- 14. IMAHDA Revisited.- Appendices.- A-Input Features of the Animal Domain.- B-Classes in the Animal Domain.- C-TTS Power Network.- D-TTS Substation Power Network.- E-Real Time Alarm Data.

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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