Engineering Intelligent Hybrid Multi-Agent Systems (Paperback, Softcover reprint of the original 1st ed. 1997)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	November 2012
First published:	1997
Authors:	Rajiv Khosla
Dimensions:	235 x 155 x 23mm (L x W x T)
Format:	Paperback
Pages:	410
Edition:	Softcover reprint of the original 1st ed. 1997
ISBN-13:	978-1-4613-7854-9
Categories:	Books > Computing & IT > Computer programming > Software engineering Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	1-4613-7854-0
Barcode:	9781461378549

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!