Modelling financial investment planning from agent perspectives

Zhang, Zili, Wang, Ruili and Gao, Shang 2008, Modelling financial investment planning from agent perspectives, International journal of modelling, identification and control, vol. 3, no. 1, pp. 41-49.

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Title Modelling financial investment planning from agent perspectives
Author(s) Zhang, Zili
Wang, Ruili
Gao, Shang
Journal name International journal of modelling, identification and control
Volume number 3
Issue number 1
Start page 41
End page 49
Total pages 9
Publisher Inderscience
Place of publication Olny, Ill.
Publication date 2008
ISSN 1746-6172
1746-6180
Keyword(s) multiagent systems
MAS
hybrid intelligent systems
agent-based modelling
financial investment planning
Summary Multi-agent Systems (MASs) offer strong models for representing complex and dynamic real-world environments. Taking financial investment planning as an example, this paper describes how to model complex systems from agent perspectives. Different agents and their behaviours are identified for financial investment planning. These agents are put together as an agent-based system. 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 (MASs) can significantly facilitate the modelling of complex systems.
Language eng
Field of Research 080105 Expert Systems
Socio Economic Objective 899999 Information and Communication Services not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2008
Copyright notice ©2008, Inderscience Enterprises Ltd.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30017962

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