Insurance Game Model Simulation Test

This thesis is mainly about a simulating test of an insurance game analyzing model. Economic simulation is a rising method in economics. By this way, we can construct the simulating economic environment, simulating agents and simulating actions, observe the variety of the economic variable in the simulating model, and get the conclusion by analyze the result of it. With the development of our nation's economy, the insurance is plays a more important role in it. So we must study the insurance problem, and investigate the rule of the insurance. My thesis studies the insurance problem by means of economic simulation method, and integrates the two areas into one model.This thesis firstly introduce the construct process of the insurance game analyzing model, and based on the hypothesis of this model, I constructs the attributes and actions of the underwriter and policy holder by using the Swarm. To make the underwriter's actions more efficiency, I introduce the GALCS (Genetic Algorithm Learning Classifier System) into my model. At last, this thesis analyze the result of the simulating model, and test the underwriter's actions by using this simulating model.