IJE TRANSACTIONS B: Applications Vol. 20, No. 3 (December 2007) 211-224   

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Arash Rahman

Department of Computer, Faculty of Engineering
Science and Research Branch, Islamic Azad University
Tehran, Iran

Saeed Setayeshi* and Mojtaba Shamsaei Zafarghandi

Faculty of Nuclear Engineering and Physics, Amirkabir University of Technology
Tehran, Iran
setayesh@aut.ac.ir - pysham@aut.ac.ir

*Corresponding Author

( Received: August 14, 2007 – Accepted in Revised Form: November 22, 2007 )

Abstract     In this paper an artificial society is being assumed as a multi agents system. A sugarscape model consisting of a cellular landscape of resources is used to form an interaction among the agents of the population. In the model, agents find the resources to survive. They are supposed to move and search and because of this movement, an evolutionary social behavior will develope. From model analysis view point this behavior should be parameterized and also optimized. To analyze the said assumption, each agent should gather and store as much sugar as possible to create an asset for itself. Hence, From the simulation result, the population be categorized based on the asset. In the society, wealth may be allocated based on the asset, gathered by the agents. The percentage of population who will possesses some percentage of the wealth is specified. The simulation shows that in an artificial life, it is possible to use the sugarscape model to optimize the behavior of a society, and the parameters of the model are predictable as well.  


Keywords    Artificial Life, Artificial Society, Sugarscape Model, Agent Based Modeling, Wealth Distribution



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