Journal
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 414, Issue -, Pages 6-18Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.physa.2014.06.080
Keywords
Iterated snowdrift game; Expected-reward; Mobile agent; Random-pairing
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Funding
- National Natural Science Foundation of China Youth Project [71101102]
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The iterated spatial game among the mobile population is an interesting problem in the fields of biological, social and economic sciences. Inspired by some recent works, this paper concentrates on the iterated snowdrift game among movable and myopic agents. Two different decision-making schemes, namely the utility-maximum rule and the Fermi rule, are applied and examined. In the former case, cooperation is found to be enhanced by moving velocity with an upper bound. The analytical results of the model are deduced at two extreme cases when agents cannot move or move quickly. In the latter case, the influences of velocity and temptation-to-defect are much more complicated. These results allow a deeper insight of the related model as well as the emergence of cooperation. (C) 2014 Elsevier B.V. All rights reserved.
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