Multi-Agent Imitation Behavior Based on Information Interaction

As a common social phenomenon, group imitation behavior holds significant research value in the fields of biological group collaboration and artificial swarm intelligence. This paper constructs a behavior imitation model integrating information dissemination mechanisms based on the theory of multiagent systems. The model aims to reveal the influence mechanism of group dynamic characteristics and information interaction intensity on the consistency of group behavior. The model architecture consists of two parts. The first part is an information dissemination model improved upon the SIR model, which introduces a perception radius to analyze how neighboring interactions affect the information diffusion rate. The second part is a multiagent group aggregation model based on social mechanics, enabling individuals to form groups through parameters like attraction, repulsion, speed, and movement direction. Groups spread aggregation and imitation information through interactions with neighboring individuals. Then, based on the breadth of the information they receive, they imitate exemplary groups through intergroup imitation effects. Through complex system simulations, the experimental results show that the consistency of group imitation behavior is positively correlated with the perception radius of individuals. This research provides a new modeling framework and analytical perspective for understanding the emergence mechanism of swarm intelligence.