An Analysis to Wealth Distribution Based on Sugarscape Model in an Artificial Society

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.