Evolving laws of human cooperative behaviour

doi:10.1088/1674-1056/19/9/090101

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.

Keywords: cooperation random walk natural disaster

Received: 29 December 2009
Revised: 03 March 2010
Accepted manuscript online:

PACS:

0175

Fund: 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.

Cite this article:

Li Ke-Ping(李克平) and Fan Hong-Qiang(范红强) Evolving laws of human cooperative behaviour 2010 Chin. Phys. B 19 090101

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