Pang Wei; Ph. D Proposal; Dept. of Computer Science,University of Maryland, College Park.
(I) Proposed Title
(II) Introduction
(III) Brief Literature Review
(IV) Methodology
(V) Proposed Research Time-Table
(VI) References
(I) Proposed Title
Agent Based Simulation and Its Application in Computational Economics
(II) Introduction
Complex Systems
The definition of complex systems provides a new unity of approach to many different problems. These concepts originate from efforts to understand physical, biological and social systems. Examples of applications can be found 本
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英语论文网www.51lunwen.org整理提供in all fields and professions including science, medicine, engineering, management and education. It should be pointed out that complex systems is an active field and the most exciting discoveries are yet to be made. Numerous complex systems are vital to human beings such as market economics, social systems, immune system and etc. So it is important to understand and analyze them well.
The Agent System and Agent Based Simulation
The general evolving agent system is made up of many autonomous agents and each agent can interact with others. Given certain initial conditions, the agent system begins to evolve without external intervention. After several iterations, some meaningful results could be found in this closed system. So the agent based simulation is utilized to investigate the common encountered complex systems especially the social and economical systems.
Agent based Computational Economics
ACE (Agent-based Computational Economics) is a brand new cross research area of economics and computational intelligence. It is the computational study of economies modeled as evolving systems of autonomous interacting agents. Decentralized market economies are complex systems, and the agents might represent people, companies interacting in market environment composed of resources, trading protocols, technology level, etc.
Economics is a well developed discipline; economists employed a lot of methods to study this field. In the past 10 years, with the quick development of computing science and technology, some economists used a new technique—constructed method from bottom to up implemented by agents simulating economic entries' action in markets. This gave us a new way to explore the distributed market economies and make made an in-depth study of the other complex systems. More detailed description about computational economics can be seen in the following website: wuecon.wustl.edu/sce/
(III) Brief Literature Review
Robert Axelrod's work
The work of Axelrod can be considered as the preliminary research on in the area of agent based social simulation.
In Axelrod's book the Evolution of Cooperation [1], the author discussed how cooperation can emerge in a world of self-seeking egoists--whether superpowers, businesses, or individuals--when there is no central authority to police their actions. The latter book [2] continues the study and pointed out the complexity of the cooperation between interacting agents through gathering together the myriad fruits of a decade's previous work and carefully modified his initial model in the first book.
One of the most exciting aspects is that the author tried to apply the idea of evolutionary computation to the agent based simulation. The simulation environment was looked viewed as an evolving system. The most common used evolutionary algor
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