Cellular automata-based models of group motion and interaction of agents with memory

Abstract

The paper is devoted to the construction of the motion and interaction model for agents with memory. Agents move on the landscape consisting of squares with different passability. We briefly described the cellular automata-based model with one common to all agents layer corresponding to the landscape and many agent-specific layers corresponding to an agent’s memory. Methods for the random landscape generation and for the simulation of a communication system are developed. Also, we studied a connection between the discrete and the continuous formulation of the agent motion model and found several dependencies between parameters of the model.