An Improved Bayesian Learning Method for Multi-agent System

Authors

  • Shenghui Dai
  • Xueqin Zhu
  • Ying Gui
  • Hongzhen Xu

DOI:

https://doi.org/10.3991/ijoe.v11i9.5071

Keywords:

Multi-agent system, Intelligent agent, Agent learning, Bayesian learning

Abstract


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.

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Published

2015-10-29

How to Cite

Dai, S., Zhu, X., Gui, Y., & Xu, H. (2015). An Improved Bayesian Learning Method for Multi-agent System. International Journal of Online and Biomedical Engineering (iJOE), 11(9), pp. 82–88. https://doi.org/10.3991/ijoe.v11i9.5071

Issue

Vol. 11 No. 9 (2015): Wireless Sensor Network Applications in Engineering

Section

Papers