Learning and decision costs in one-person games
通过两阶段数据分析，检验重复决策实验中预期收益最大化假设和收益占优假设，发现预期收益最大化得到支持而收益占优未获支持。
This paper reports the results of a two-part data analysis of learning in a repeated costly decision experiment. In the first part we test payoff dominance under the hypothesis of expected payoff maximization. We utilize a dynamic probability distribution over decisions for each player, characterizing what each player has learned about the payoff function by the moments from these distributions. In the second part, we test the hypothesis of expected payoff maximization for players in each treatment group. Expected payoff maximization is supported but payoff dominance is not. Copyright © 1999 John Wiley & Sons, Ltd.