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An agent-based hybrid intelligent system for financial investment planning

conference contribution
posted on 2002-01-01, 00:00 authored by Zili ZhangZili Zhang, C Zhang
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.

History

Title of proceedings

Trends in artificial intelligence

Event

Pacific Rim International Conference on Artificial Intelligence (7th: 2002 Aug. 18-22: Tokyo, Japan)

Pagination

355 - 364

Publisher

Springer-Verlag Berlin Heidelberg

Location

Tokyo, Japan

Place of publication

Heidelberg, Germany

Start date

2002-08-18

End date

2002-08-22

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783540440383

ISBN-10

3540440380

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2002, Springer-Verlag

Editor/Contributor(s)

A Mitsuru Ishizuka

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