Building agent-based hybrid intelligent systems

Zhang, Zili and Zhang, Chengqi 2003, Building agent-based hybrid intelligent systems, in Design and application of hybrid intelligent systems, IOS Press, Amsterdam, The Netherlands, pp. 799-808.


Title Building agent-based hybrid intelligent systems
Author(s) Zhang, Zili
Zhang, Chengqi
Conference name Hybrid Intelligent Systems. Conference (3rd : 2003 : Melbourne, Victoria)
Conference location Melbourne, Victoria
Conference dates 14-17 Dec. 2003
Title of proceedings Design and application of hybrid intelligent systems
Editor(s) Abraham, Ajith
Koppen, Mario
Franke, Katrin
Publication date 2003
Conference series Hybrid Intelligent Systems Conference
Start page 799
End page 808
Publisher IOS Press
Place of publication Amsterdam, The Netherlands
Summary Many complex problems including financial investment planning, foreign exchange trading, knowledge discovery from large/multiple databases require hybrid intelligent systems that integrate many intelligent techniques including expert systems, fuzzy logic, neural networks, and genetic algorithms. However, hybrid intelligent systems are difficult to develop because they have a large number of parts or components that have many interactions. On the other hand, agents offer a new and often more appropriate route to the development of complex systems, especially in open and dynamic environments. In this paper, it is argued that agent technology is well snited for constructing hybrid intelligent systems (especially loosely coupled hybrid intelligent systems) through a successful case study. A great number of heterogeneous computing techniques/packages are easily integlated into the experimental system under a unifying agent framework, which implies that agent technology can greatly facilitate the construction of hybrid intelligent systems.
ISBN 1586033948
9781586033941
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005037

Document type: Conference Paper
Collection: School of Information Technology
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