模仿
囚徒困境
困境
选择(遗传算法)
计算机科学
机制(生物学)
价值(数学)
过程(计算)
噪音(视频)
数理经济学
统计物理学
微观经济学
数学优化
数学
经济
人工智能
物理
心理学
机器学习
社会心理学
图像(数学)
操作系统
量子力学
几何学
作者
ZHEN WANG,ZHEN WANG,YUAN-HAN YANG,MING-XING YU,LI-GUO LIAO
出处
期刊:International Journal of Modern Physics C
[World Scientific]
日期:2012-01-11
卷期号:23 (02): 1250013-1250013
被引量:38
标识
DOI:10.1142/s0129183112500131
摘要
In this paper, we introduce an age-related preferential selection mechanism into the prisoner's dilemma game. Under this mechanism, players can select a source of strategy imitation from their neighbors in a biased way proportional to their ages. Tuned by a selection parameter α, the impact of aging on the evolution of cooperation can be very different. The numerical results show that the cooperation will be effectively promoted by adjusting the value of α. By examining the evolution process and spatial patterns for different values of α, it is found that larger α will effectively promote the formation of large scale of cooperator clusters. In addition, the impact of noise K on the spreading process of cooperation strategy is studied. We find that small K can make cooperation monotonously increase with α, while large K guarantees the optimal existence of cooperation for an intermediate α.
科研通智能强力驱动
Strongly Powered by AbleSci AI