The Simulation Model Of Complexity Social System Based On Cellular Automata

With the development of economy and technology, the study of complex system has penetrated into all kinds of fields, including biological system, engineering systems, social system and economic system. Social System is a complicated system, and every group or individual in it is affected by many factors. Therefore, it is significant to analyse the behaviors of all the groups and individuals in this system. At present, the analysing methods which are often used include theoretical analysis, experimental menthod and numerical Simulation. Numerical Simulation by using computer technology, of all these methods, is most popular currently. This thesis, which takes a new perspective, brings the principal of cellular automata into the study of complex social system in a bottom-up way and sets up an applicable modal of cellular automata.First, the thesis introduces the background and significance of the research, the current situation of the study of complex social system, the outline of the study and the main content of the thesis.Second, the thesis illustrates the theory of complex social system, which includes the history, constitution, feature, classification, and some primary classic cellular automata and their applications in different fields.Third, the thesis analyses the behavioring features of basic units (including enterprise and individual) which are composed of complex social system by synthetically applying complex systemetic theory, self-organizing thoery, management theory, organizational behavior and theory of Cellular Automata. The orientation of individual behaviors in the social system is a complicated dynemic evolving process and affected by several factors simultaneously. Therefore, if we want to quantify this process, we need to bring in an evolving dynamic mechanism. In order to analyze the effect of internal and external environments on individual behaviors, the thesis adopts the evolving economic thought and brings in the microcosmic method of complex system---- Cellular Automata to simulate the macroscopical evolving process of individual behaviors, to analyze and confirm the neighboring form of Cellular Automata, the law of their interactions and the boundary conditions, to analyze the internal and external factors that affect individual behaviors, and to confirm the functional relation of these factors. At the same time, this thesis also sets up the extension model of Cellular Automata on the above basis.Finally, on the basis of theories mentioned above and the extension model of Cellular Automata we developed, the cellular of class is drawn and the flow chart of calculation is given according to the demand of object-oriented classes in this thesis. And then, the simulation system is explored and the simulation experiment is designed with Microsoft Visual Studio 2005. This system designed is provided with friendly graphical interfaces so that it can dynamically demonstrate the specific evolving process. The simulation of the complex social system is carried out from two perspectives: first, simulation and analysis of Cellular Automata in the choice of enterprise strategy; second, simulation and analysis of Cellular Automata in the orientation of individual behaviors. Numerous simulation experiments indicate that the results of experiments are consistent with principles of organizational behavior and management.The results of simulation experiments also prove that the methodolegy and design of the model of Cellular Automata are effective, so they can be used as a significant refference in the choice of enterprise stategy and in regulating employees's behaviors for management teams. It also provides a solution to better understanding the groups'behaviors in organizations in a more effective, direct-viewing and reasonable way.