中国物理B ›› 2010, Vol. 19 ›› Issue (9): 90101-090101.doi: 10.1088/1674-1056/19/9/090101

• GENERAL •    下一篇

Evolving laws of human cooperative behaviour

李克平, 范红强   

  1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
  • 收稿日期:2009-12-29 修回日期:2010-03-03 出版日期:2010-09-15 发布日期:2010-09-15
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant Nos.~60634010 and 60776829), and the State Key Laboratory of Rail Traffic Control and Safety (Contract No. ~RCS2008ZZ001), Beijing Jiaotong University.

Evolving laws of human cooperative behaviour

Li Ke-Ping(李克平) and Fan Hong-Qiang(范红强)   

  1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
  • Received:2009-12-29 Revised:2010-03-03 Online:2010-09-15 Published:2010-09-15
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant Nos.~60634010 and 60776829), and the State Key Laboratory of Rail Traffic Control and Safety (Contract No. ~RCS2008ZZ001), Beijing Jiaotong University.

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摘要： In this study, we improve Lévy walk model, and make it suitable for simulating the collective behaviours of humans. Here we show how rescuers find missing persons by collective cooperative search in a natural background. In the search process, the search strategy represents an optimal algorithm which is used to maximize the success rates for finding missing persons. We simulate the rescuer's movement pattern, and find some basic laws governing the rescuer's cooperative search. For example, the probability that each rescuer finds missing persons shows a power law distribution.

Abstract: In this study, we improve Lévy walk model, and make it suitable for simulating the collective behaviours of humans. Here we show how rescuers find missing persons by collective cooperative search in a natural background. In the search process, the search strategy represents an optimal algorithm which is used to maximize the success rates for finding missing persons. We simulate the rescuer's movement pattern, and find some basic laws governing the rescuer's cooperative search. For example, the probability that each rescuer finds missing persons shows a power law distribution.

Key words: cooperation, random walk, natural disaster

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