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An agent-based hybrid intelligent system for financial investment planning
Many complex problems including financial investment planning 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 due to complicated interactions and technique incompatibilities. This paper describes a hybrid intelligent system for financial investment planning that was built from agent points of view. This system currently consists of 13 different agents. The experimental results show that all agents in the system can work cooperatively to provide reasonable investment advice. The system is very flexible and robust. The success of the system indicates that agent technologies can significantly facilitate the construction of hybrid intelligent systems.
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Title of proceedings
Trends in artificial intelligenceEvent
Pacific Rim International Conference on Artificial Intelligence (7th: 2002 Aug. 18-22: Tokyo, Japan)Pagination
355 - 364Publisher
Springer-Verlag Berlin HeidelbergLocation
Tokyo, JapanPlace of publication
Heidelberg, GermanyPublisher DOI
Start date
2002-08-18End date
2002-08-22ISSN
0302-9743eISSN
1611-3349ISBN-13
9783540440383ISBN-10
3540440380Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2002, Springer-VerlagEditor/Contributor(s)
A Mitsuru IshizukaUsage metrics
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