An Improved Bayesian Learning Method for Multi-agent System

International Journal of Online Engineering

Xueqin Zhu¹  Ying Gui¹  Hongzhen Xu¹  Shenghui Dai¹ 

关键词: Multi-agent system;    Intelligent agent;    Agent learning;    Bayesian learning;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: International Association of Online Engineering

【 摘 要 】

A multi-agent coordinate ion is addressed in urban traffic control, which uses the recursive modeling method (RMM) that enables an agent to select its rational act ion by examining with other agents by modeling their decision making in a distributed multi-agent environment. Bayesian learning is used in conjunction with RMM for belief update. Based on this method, a multi-agent traffic control system is established and the results rated its effective.

【 授权许可】

Unknown