Modelling financial investment planning from agent perspectives Online publication date: Sat, 10-May-2008
by Zili Zhang, Ruili Wang, Shang Gao
International Journal of Modelling, Identification and Control (IJMIC), Vol. 3, No. 1, 2008
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.
Online publication date: Sat, 10-May-2008
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