关键词: 群体行为, 自推动粒子模型, 元胞自动机

Abstract: This paper improves the self-propelled particle models by cellular automaton; through this model, the evolution characteristic of group behaviors is further studied in the conditions of non-target and dual-targets. The group behaviors simulation under the non-target condition shows that most individuals reach the dynamic equilibrium in low-density environment, most individuals are in static equilibrium in high-density environment, and both the static and the dynamic equilibrium exist in medium-density environment. The simulation results of group behaviors based on dual-targets attractiveness model show that when the agent’s rational level is low, the system evolution can produce the concentration effect to a certain extent, and the agents outside the attracted source region maintain a certain distance with the source and the movement is turbulent. When the agents have the small probability of global rationality, the evolution results of group behaviors show that most agents gather in the vicinity of the attractive source.

Key words: group behaviors, self-propelled particles model, cellular automata