Building agent-based hybrid intelligent systems: A case study

Article type: Research Article

Authors: Zhang, Zili^; | Zhang, Chengqi

Affiliations: Faculty of Computer and Information Science, Southwest University, Chongqing 400715, China | School of Engineering and Information Technology, Deakin University, Geelong Victoria 3217, Australia | Faculty of Information Technology, University of Technology, Sydney, PO Box 123 Broadway, NSW 2007 Australia

Note: [] Corresponding author. E-mail: [email protected]

Abstract: 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.

Keywords: Multi-agent systems, intelligent agents, agent-based systems, hybrid intelligent systems, financial investment planning

Journal: Web Intelligence and Agent Systems: An international journal, vol. 5, no. 3, pp. 255-271, 2007