Effect of network topology on the evolutionary ultimatum game based on the net-profit decision

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• 作者：Shun-Qiang Ye ; Lu Wang ; Michael C. Jones ; Ye Ye…
• 关键词：Statistical and Nonlinear Physics
• 刊名：The European Physical Journal B - Condensed Matter
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：89
• 期：4
• 全文大小：1,186 KB
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• 作者单位：Shun-Qiang Ye (1)
  Lu Wang (2)
  Michael C. Jones (3)
  Ye Ye (2)
  Meng Wang (2)
  Neng-Gang Xie (2)
  
  1. Institute of Systems Engineering, College of Management and Economics, Tianjin University, Tianjin, 300072, P.R. China
  2. School of Mechanical Engineering, Anhui University of Technology, Ma’anshan, Anhui, 243002, P.R. China
  3. Columbia, Missouri, 65203, USA
  
• 刊物类别：Physics and Astronomy
• 刊物主题：Physics
  Condensed Matter
  Physics
  Complexity
  Fluids
  Solid State Physics and Spectroscopy
  Superconductivity, Superfluidity and Quantum Fluids
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1434-6036

文摘

The ubiquity of altruist behavior amongst humans has long been a significant puzzle in the social sciences. Ultimatum game has proved to be a useful tool for explaining altruistic behavior among selfish individuals. In an ultimatum game where alternating roles exist, we suppose that players make their decisions based on the net profit of their own. In this paper, we specify a player’s strategy with two parameters: offer level α ∈ [ 0,1) and net profit acceptance level β ∈ [ − 1,1). By Monte Carlo simulation, we analyze separately the effect of the size of the neighborhood, the small-world property and the heterogeneity of the degree distributions of the networks. Results show that compared with results observed for homogeneous networks, heterogeneous networks lead to more rational outcomes. Moreover, network structure has no effect on the evolution of kindness level, so moderate kindness is adaptable to any social groups and organizations.