A Turing Tournament for Behavioral Economics

行为经济学图灵锦标赛

• 批准号: 0338732
• 负责人: John Ledyard
• 金额: $ 20万
• 依托单位: California Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-10-01 至 2007-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0338732&HistoricalAwards=false
• 关键词: Turing; Tournament; Behavioral; Economics

One fundamental goal of social science is to develop good models of human behavior. But, it is difficult to know when we have been successful -- there are many competing models and, using standard methods, it is difficult to compare them to each other. In this research we advance a methodology involving a computer-based Turing Tournament in which data from emulators (computer programs designed to ''act like human subjects'' in repeated 2 person games) and data from human subjects are compared by detectors (computer programs designed to separate human from emulator data). The winning detector is the one best able to sort humans from emulators. The winning emulator is the one best able to fool the best detector. Unlike other tournaments, this is not one program playing another to win a game. The idea, after all, is not to be better than humans but to be exactly like humans. One of the broad benefits from this activity will be the creation of a publicly available test-bed in which researchers can test their models of behavior against true human behavior, and in which researchers can test the efficacy of their methodologies to detect non-human behavior.

社会科学的基本目标之一是开发良好的人类行为模型。但是，很难知道我们何时取得了成功——存在许多竞争模型，并且使用标准方法，很难将它们相互比较。 在这项研究中，我们提出了一种涉及基于计算机的图灵锦标赛的方法，其中来自模拟器（设计为在重复的两人游戏中“像人类受试者一样行动”的计算机程序）的数据和来自人类受试者的数据通过检测器（计算机程序）进行比较旨在将人类数据与模拟器数据分开）。获胜的探测器是最能将人类与模拟器区分开来的探测器。获胜的模拟器是最能欺骗最好的检测器的模拟器。 与其他锦标赛不同，这不是一个程序与另一个程序竞争以赢得比赛。毕竟，这个想法不是要比人类更好，而是要完全像人类。这项活动的广泛好处之一是创建一个公开可用的测试平台，研究人员可以在其中测试他们的行为模型与真实的人类行为，并在其中测试他们的方法论检测非人类行为的有效性。