Abstract
<p indent="0mm">Guiding the generation and propagation of intelligent behavior in crowds is an important research direction in the field of swarm intelligence. Cooperation is a common behavior of swarm intelligence in nature. In this study, an evolutionary game model based on special individuals is established to analyze the evolutionary characteristics and regulatory measures of group-inspired cooperation levels. First, an effective intervention control architecture is established in the rule network evolutionary game model to realize the regulation effect on the cluster system. Second, by designing the control rules of special individuals based on swarm intelligence, special individuals can stimulate the emergence of cooperative behaviors. Finally, the Monte Carlo simulation method is used to analyze the influence of special individuals on the evolution characteristics of a group, and the influence of different parameter conditions on the cooperation level is discussed.
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