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ithm-Genetic Algorithm was employed in the environment to investigate the old classic problem: iterated prisoner's dilemma problem.
This inspires us that the computational intelligence theory can be applied to the evolving agent system and it is helpful to construct the simulation environment and design the culture dish experiment successfully.
Leigh Tesfatsion's work
The work of Leigh Tesfatsion made a major contribution to agent based computational economics by developing the culture dish approach to construct an agent system and to explore the hidden rules among the interacting agents. She summarized the main research areas in ACE: (i) Learning and the embodied mind; (ii) evolution of behavioral norms; (iii) bottom-up modeling of market processes; (iv) formation of economic networks; (v) modeling of organizations; (vi) design of computational agents for automated markets; (vii) parallel experiments with real and computational agents; and (viii) building ACE computational laboratories.
Tesfatsion illustrated that current ACE research divides roughly into four strands differentiated by objective:
1.One primary objective is empirical understanding: Why have particular macro regularities evolved and persisted, despite the absence of top-down planning and control?
2. A second primary objective is normative understanding: How can agent-based models be used as laboratories for the discovery of good economic designs?
3.A third primary objective is qualitative insight and theory generation: How can the full potentiality of economic systems be better understood through a better understanding of their complete phase portraits (equilibria plus basins of attraction)?
4.A fourth primary objective is methodological advancement: How best to provide ACE researchers with the methods and tools they need to undertake the rigorous study of economic systems through controlled computational experiments?
The study of Complex Network and Social Network
Recently, the theory of complex network [6] is developed quickly because of the emergence of many new type complex network systems and the recognition of numerous classic complex systems which can be seen as a complex network.本论文由英语论文网 www.51lunwen.org整理提供 Complex weblike structures describe a wide variety of complex systems of high technological and intellectual importance such as Internet.
The human social network can be seen as a complex network on which fads and ideas spread. The nodes of the social network are human beings and edges represent various social relationships. Social network analysis (SNA) [7] is focused on uncovering the patterning of people's interaction.
Motivated by the above research and recognition, some quantities and measures which embody the complex network theory and SNA may be proposed and investigate in depth in the field of economics together with the agent based simulation.
(IV) Methodology
Model Construction
Simulation Approach
Our research group is working on an ACE model now. Our main goal is to research behavior of exchange between agents with various product ability and different utility functions. This model is inspired by reference [4], [5], we just considered commodity exchange in a simple simulation society. Commodity exchange is a basic economics behavior, and is the origin of market economies, so it is valuable for economics research. Only considering commodity exchange is important to make our model not too com