Emergent agent communication in multi-agent systems using automatically defined function genetic programming (ADF-GP)

Multi-agent systems, in which independent software agents interact with each other to achieve common goals, complete concurrent distributed tasks under autonomous control. In this paper we propose a method applying automatically defined function genetic programming (ADF-GP) to allow agents to autonomously learn effective agent communication messaging in order to achieve group behavior. A software simulation of a multi-agent system was used to observe the effectiveness of the proposed method. Using the proposed method, emergence of a compact and efficient agent communication protocol for the multi-agent system was observed