Emergence of group behavior in multiagent systems using self trained agent communication

Autor: K.J. Mackin, E. Tazaki
Rok vydání: 2003
Předmět:
Zdroj: IJCNN
DOI: 10.1109/ijcnn.1999.833410
Popis: Multiagent systems, in which independent software agents interact with each other to achieve common goals, complete concurrent distributed tasks under autonomous control. We propose a method applying genetic programming (GP) to allow agents to autonomously learn effective agent communication messaging in order to achieve group behavior. A software simulation of a multiagent system will be used to observe the effectiveness of the proposed method. Using the proposed method, emergence of a compact and efficient agent communication protocol for the multiagent system was observed.
Databáze: OpenAIRE