The Propagation of Psychological Variables in Crowd: Simulation Results

Abstract

Group behavior that appears in a massive crowd can result in some uncontrolled actions that could endanger not only the members of the crowd, but also its surrounding environment. This unpredictable behavior is a result of the spread of influence and action of each individual against another individual in the crowd. Iterative process that happens constantly can lead to an uncontrolled accumulation of actions. This paper is our first study to apply psychological behavior of crowd into a group of humanoid robot. Our goal in this research is having a group of robots that behave like a human crowd. The psychology theory to be implemented into our robot's behavior is Le Bon's "Suggestibility theory". In this paper, robots will consider as a multi-agents system which has distinct different psychological characteristics on each agent. In reviewing the propagation process of psychological variable on each agent, we used a model known as Psychological Dynamic Model (PDM). This paper attempts to understand the PDM algorithm and try to make a simulation based on the existing model of the PDM.