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By
Tharam Dillon and
Rajiv Khosla
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Jump down to see edition details for: Hardcover
Bibliographic Detail
Publisher
Kluwer Academic Pub
Publication date
August 1, 1997
Pages
410
Binding
Hardcover
Book category
Adult Non-Fiction
ISBN-13
9780792399827
ISBN-10
079239982X
Dimensions
1.25 by 6.75 by 9.75 in.
Weight
2 lbs.
Original list price
$212.00
Other format details
sci/tech
Summaries and Reviews
(view table of contents)
Amazon.com description: Product Description: 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.
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.
Editions
Hardcover
The price comparison is for this edition
from Kluwer Academic Pub (August 1, 1997)
9780792399827 | details & prices | 410 pages | 6.75 × 9.75 × 1.25 in. | 2.00 lbs | List price $212.00
About: Engineering Intelligent Hybrid Multi-Agent Systems is about building intelligent hybrid systems.
About: Engineering Intelligent Hybrid Multi-Agent Systems is about building intelligent hybrid systems.
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