A Remark on the Guessing Game

Enrico G. De Giorgi, S. Reimann
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引用次数: 14

Abstract

The Guessing Game on numbers between zero and N and with a non negative parameter is considered in a 1-shot setting with k levels of thinking. The model proposed is based on two assumptions: 1.) Players consider intervals rather than numbers, parametrized by a non negative parameter called the confidence parameter; 2.) Each player readjusts her guess successively during the sequence of iterations according to her recent belief. Under mild conditions, in this model the expected Winning Number is found to be different form zero and the "classical" result 17 is obtained for a quite wide interval of confidence, after 4 levels of thinking only. Further, if the confidence parameter has a skew distribution on [0,1], then we also obtain a skew distribution for the guessed number. This matched to the real data on the Guessing Game.
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关于0到N之间的数字并带有非负参数的猜谜游戏被认为是在具有k个思维水平的1次设置中。提出的模型基于两个假设:玩家考虑的是间隔而不是数字,这是由一个非负参数(称为置信度参数)参数化的;2)。每个玩家在迭代过程中根据自己最近的信念不断调整自己的猜测。在温和条件下,该模型的期望中奖号码与零不同,仅经过4层思考,在相当宽的置信区间内得到“经典”结果17。进一步,如果置信参数在[0,1]上有一个偏态分布,那么我们也得到了猜测数的一个偏态分布。这与竞猜游戏中的真实数据相符。
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