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Building agent-based hybrid intelligent systems : a case study

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journal contribution
posted on 2007-09-01, 00:00 authored by Zili ZhangZili Zhang, C Zhang
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.

History

Journal

Web intelligence and agent systems

Volume

5

Pagination

255 - 271

Location

Amsterdam, The Netherlands

Open access

  • Yes

ISSN

1570-1263

Language

eng

Notes

Reproduced with the specific permission of the copyright owner.

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2007, IOS Press and the authors