期刊文献+

Statistical Learning in Game Theory

Statistical Learning in Game Theory
下载PDF
导出
摘要 In economics, buyers and sellers are usually the main sides in a market. Game theory can perfectly model decisions behind each “player” and calculate an outcome that benefits both sides. However, the use of game theory is not lim-ited to economics. In this paper, I will introduce the mathematical model of general sum game, solutions and theorems surrounding game theory, and its real life applications in many different scenarios. In economics, buyers and sellers are usually the main sides in a market. Game theory can perfectly model decisions behind each “player” and calculate an outcome that benefits both sides. However, the use of game theory is not lim-ited to economics. In this paper, I will introduce the mathematical model of general sum game, solutions and theorems surrounding game theory, and its real life applications in many different scenarios.
作者 Luyuan Shi Luyuan Shi(676 Parkside Dr, Jericho Senior High School, Jericho, NY, USA)
机构地区 [
出处 《Journal of Applied Mathematics and Physics》 2023年第3期663-669,共7页 应用数学与应用物理(英文)
关键词 General-Sum Games Nash Equilibrium Minimax Theorem Statistical Learning General-Sum Games Nash Equilibrium Minimax Theorem Statistical Learning
  • 相关文献

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部