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Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
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.