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Building agent-based hybrid intelligent systems : a case study

Zhang, Zili and Zhang, Chengqi 2007, Building agent-based hybrid intelligent systems : a case study, Web intelligence and agent systems, vol. 5, no. 3, pp. 255-271.

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Title Building agent-based hybrid intelligent systems : a case study
Author(s) Zhang, Zili
Zhang, Chengqi
Journal name Web intelligence and agent systems
Volume number 5
Issue number 3
Start page 255
End page 271
Publisher IOS Press
Place of publication Amsterdam, The Netherlands
Publication date 2007-09
ISSN 1570-1263
Keyword(s) multi-agent systems
intelligent agents
agent-based systems
hybrid intelligent systems
financial investment planning
Summary Many complex problems (e.g., financial investment planning, foreign exchange trading, data mining from large/multiple databases) require hybrid intelligent systems that integrate many intelligent techniques (e.g., 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. Thus, this paper discusses the development of an agent-based hybrid intelligent system for financial investment planning, in which a great number of heterogeneous computing techniques/packages are easily integrated into a unifying agent framework. This shows that agent technology can indeed facilitate the development of hybrid intelligent systems.
Notes Reproduced with the specific permission of the copyright owner.
Language eng
Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2007, IOS Press and the authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30007241

Document type: Journal Article
Collections: School of Engineering and Information Technology
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