Iterated snowdrift game among mobile agents with myopic expected-reward based decision rule: Numerical and analytical research

作者：Zhong Shiquan; Jia Ning^*; Ma Shoufeng

来源：Physica A: Statistical Mechanics and Its Applications , 2014, 414: 6-18.

DOI：10.1016/j.physa.2014.06.080

• Iterated snowdrift game
• Expected-reward
• Mobile agent
• Random-pairing

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.

• 出版日期2014-11-15
• 单位天津大学