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This paper introduces a new method for analyzing Mass Violence Events, and then we make use of Intelligent Artificial and Agent-Based System to deal with them. In the meanwhile, we describe and defy three kinds of agents (cops, activists and civilians), what comes next is that we apply these theories to model and simulate such events. The simulation results show that the behaviors of activists can easily affect whether civilians will join into Mass Violence Events, if they attend events, it will lead cops to face more difficulties when dealing with them. The new method can provide certain theoretical meanings for public security organs to address Mass Violence Events.

This paper uses Analytic Hierarchy Process(AHP) to analyze the probability of individual appearing acts of violence by the influence of different roles in the crowd of Mass Violence Event, obtaining the weight of influence of organization leaders, agitators, general participants and bystanders to individuals. This paper also introduces spatial heterogeneity to reflect different roles' influence decaying with distance. By means of experiment, we obtain the approximate probabilistic data of individuals appearing violence in different locations and personnel situations, depict the roughly curve of probability affected by crowd density in different personnel situations. Then we can determine the areas of high violence probability in certain environment, which provide data support for the police to dispose analogous events.