Authors: Zili Zhang, Ruili Wang, Shang Gao
Addresses: Southwest University, Chongqing 400715, China; School of Engineering and Information Technology, Deakin University, Geelong VIC 3217, Australia. ' Institute of Information Sciences and Technology, College of Sciences, Massey University, Private Bag 11 222, Palmerston North, New Zealand. ' School of Engineering and Information Technology, Deakin University, Geelong VIC 3217, Australia
Abstract: 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.
Keywords: multi-agent systems; MAS; hybrid intelligent systems; agent-based modelling; financial planning; investment planning; financial investment; agent-based systems.
International Journal of Modelling, Identification and Control, 2008 Vol.3 No.1, pp.41 - 49
Available online: 10 May 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article