Research On The Dynamic Model Of The Behavior Of The Conflict Group In Officials Based On Agent Technology

Since the reform and open policy, our country collective events occurred in therising trend, according to the “social blue book” which is released by ChineseAcademy of Social Sciences: from1993to2003, the number of Chinese groupevents has increased from10,000to60,000, at the same time the number ofparticipants has increased from730,000to3,070,000; in2005it reached87,000;2006more than90,000; in2007it reached100,000. Since2009, the total amount ofcollective events remains prone posture. At the same time, foreign study experiencealso shows that, the national per capita income reached from$1000to$3000stage,due to the various changes of the pattern of interests and conflicts, which is a criticalperiod of economic imbalanced, social disorder, psychological imbalance, socialethics need to adjust the reconstruction, during this period it was very easy toproduce social unrest. Chinese current economic and social development also is inthis particular period. Those roles and the phenomenon of various social, political,economic, cultural, concepts and other factors show that the current our countryenter the period of high social group incidents, group incidents have become aprominent problem affecting the social stability.Study on dynamic model is constructed in this paper collective behavioremerged through interdisciplinary research methods of Agent-Based modelingtechnology, to reveal the group behavior emerged mechanism, simulation to therelevant departments put forward prevention and intervention group behaviorcountermeasures or suggestions group behavior through computer.This study is divided into three parts:The first part, according to the Chinese and foreign literature review and logicalanalysis, dynamic model of emergent group behavior of computer;The second part, the validation of the model from the theory and practice, givethe model more practical significance;The third part, according to the simulation results of the dynamic model, to therelevant departments to better prevention and intervention group behavior suggested countermeasures.The conclusion of this study:By means of literature review and logical analysis, extract unfair variables,group efficacy variables and the mood algorithm is added to the dynamic model forsimulation, dynamic group behavior emerged in the prototype system, has a goodsimulation effect;From the point of view of theory and practice, to verify the dynamic modelswhich is constructed, and to achieve good verification of validity;Suggestions on emerging prevention and intervention of collective behavior.