Authors:
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (14 chapters)
-
Front Matter
-
Back Matter
About this book
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.
Authors and Affiliations
-
La Trobe University, Melbourne, Australia
Rajiv Khosla, Tharam Dillon
Bibliographic Information
Book Title: Engineering Intelligent Hybrid Multi-Agent Systems
Authors: Rajiv Khosla, Tharam Dillon
DOI: https://doi.org/10.1007/978-1-4615-6223-8
Publisher: Springer New York, NY
-
eBook Packages: Springer Book Archive
Copyright Information: Kluwer Academic Publishers 1997
Hardcover ISBN: 978-0-7923-9982-7Published: 30 September 1997
Softcover ISBN: 978-1-4613-7854-9Published: 26 November 2012
eBook ISBN: 978-1-4615-6223-8Published: 06 December 2012
Edition Number: 1
Number of Pages: XXI, 410
Topics: Artificial Intelligence, Systems Theory, Control, Software Engineering/Programming and Operating Systems