So far, approach of agent-based computational finance modeling Approach is one of most pop means of financial markets complex adaptive system modeling. But this modeling approach considers agent as a static model units, it can not reflect the emergence process in-depth, and how the agent build the financial markets complex adaptive system emergence phenomenon by gather, internal models and building blocks. This article attempts to look at agent properties of adaptation and evolutionary from a novel perspective. It extends and expands the concept of agent, and introduces concept of the mechanism. It considers emergent structure pattern of agents as dynamic mechanisms when agents are evolving and adapting ceaselessly. Finally, it proposes the universal theoretical framework of mechanism-based computing finance modeling method. And the theoretical framework is applied to the stock market modeling.
Published in:
Natural Computation (ICNC), 2010 Sixth International Conference on
(Volume:4
)
Date of Conference: 10-12 Aug. 2010