Effective Decision-making of Robo Cup Rescue Simulation Agents Based on Artificial Immune System

摘要：

To realize highly effective action decision-making of RoboCup Rescue simulation agents, an immune network model is proposed based on the artificial immune system and agent technology. In RoboCup Rescue simulation environment, particularly ambulance model, antibodies are defined as action strategies of rescuing victims, while environmental conditions are treated as antigens. The immune algorithm of decision-making is established after the design of antibody-antibody and antibody-antigen parameters for ambulances in the unknown disaster environment. The test results indicate that effective action decision- making has achieved. Usage of similar method for other agents is suggested.

作者: Qingfa MENG Yingqiu XU

作者单位: School of Mechanical Engineering Southeast University, Nanjing 211189, China

会议类型: 国际会议

会议名称: 第六届中国国际丝绸会议暨第二届国际纺织高层论坛(The 6th China International Silk Conference and The 2nd International Textile Forum)

会议地点: 苏州

会议语种:英文

页码: 48-51

在线出版日期: 2007-09-13（万方平台首次上网日期，不代表论文的发表时间）