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Engineering Intelligent Hybrid Multi-Agent Systems by Rajiv Khosla, Tharam Dillon (auth.) is a nonfiction available to read on EtoBox.

What is Engineering Intelligent Hybrid Multi-Agent Systems about?

__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 Inte

Who reads Engineering Intelligent Hybrid Multi-Agent Systems?

Author

Rajiv Khosla, Tharam Dillon (auth.)

Publisher

Springer Science+Business Media, LLC

Published

1997

Language

EN

ISBN

9781461378549

Category

nonfiction

Subjects

Engineering, Science, Programming