溢出效应
夏普里值
结果(博弈论)
随机博弈
微观经济学
计算机科学
博弈论
数理经济学
班级(哲学)
经济
价值(数学)
网络效应
数学优化
数学
机器学习
人工智能
作者
David W. K. Yeung,Leon A. Petrosyan,Yingxuan Zhang
标识
DOI:10.1142/s0219198920500115
摘要
This paper presents a general class of dynamic network games to analyze trade with technology spillover. Due to the fact that the benefits of technology spillover are not fully accrued to the technology developer, the positive externalities are under-exploited. The cooperative solution yields an optimal outcome. To reflect the contributions of individual agents to the network, the Shapley value is used as a solution optimality principle in sharing the cooperative gains. A time-consistent payoff imputation procedure is derived to maintain the Shapley value at each stage of the cooperation. A representative model based on the general class of network games with explicit functional form is given. This is the first time that trade with technology spillover is studied in the framework of dynamic network games, further studies along this line are expected.
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