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人类延迟折扣的四种模型比较。

A comparison of four models of delay discounting in humans.

作者信息

McKerchar Todd L, Green Leonard, Myerson Joel, Pickford T Stephen, Hill Jade C, Stout Steven C

机构信息

Department of Psychology, Jacksonville State University, Jacksonville, AL 36265, USA.

出版信息

Behav Processes. 2009 Jun;81(2):256-9. doi: 10.1016/j.beproc.2008.12.017. Epub 2008 Dec 27.

Abstract

The present study compared four prominent models of delay discounting: a one-parameter exponential decay, a one-parameter hyperbola [Mazur, J.E., 1987. An adjusting procedure for studying delayed reinforcement. In: Commons, M.L., Mazur, J.E., Nevin, J.A., Rachlin, H. (Eds.), Quantitative Analyses of Behavior: The Effect of Delay and of Intervening Events on Reinforcement Value, vol. 5. Erlbaum, Hillsdale, NJ, pp. 55-73], a two-parameter hyperboloid in which the denominator is raised to a power [Green, L., Myerson, J., 2004. A discounting framework for choice with delayed and probabilistic rewards. Psychol. Bull. 130, 769-792], and a two-parameter hyperbola in which delay is raised to a power [Rachlin, H., 2006. Notes on discounting. J. Exp. Anal. Behav. 85, 425-435]. Sixty-four college undergraduates made choices between hypothetical monetary rewards, one immediate and one delayed, and the fit of the four models to their data was assessed. All four equations accounted for a large proportion of the variance at both the group and the individual levels, but the exponents of both two-parameter models were significantly less than 1.0 at the group level, and frequently so at the individual level. Taken together, these results strongly suggest that more than one parameter is needed to accurately describe delay discounting by humans. Notably, both the Rachlin and the Green and Myerson models accounted for more than 99% of the variance at the group level and for 96% of the variance in the median individual. Because both models provide such good descriptions of the data, model selection will need to be based on other grounds.

摘要

本研究比较了四种著名的延迟折扣模型

单参数指数衰减模型、单参数双曲线模型[马祖尔,J.E.,1987年。一种研究延迟强化的调整程序。载于:康芒斯,M.L.,马祖尔,J.E.,内文,J.A.,拉赫林,H.(编),《行为的定量分析:延迟和中间事件对强化价值的影响》,第5卷。埃尔鲍姆出版社,新泽西州希尔斯代尔,第55 - 73页]、分母升幂的双参数双曲面模型[格林,L.,迈尔森,J.,2004年。一个用于延迟和概率奖励选择的折扣框架。《心理学期刊》130,769 - 792]以及延迟升幂的双参数双曲线模型[拉赫林,H.,2006年。关于折扣的注释。《实验行为分析杂志》85,425 - 435]。64名大学生在假设的货币奖励之间进行选择,一个是即时奖励,一个是延迟奖励,并评估了这四种模型对他们数据的拟合情况。所有四个方程在组水平和个体水平上都解释了很大比例的方差,但两个双参数模型的指数在组水平上显著小于1.0,在个体水平上也经常如此。综合来看,这些结果强烈表明,需要不止一个参数才能准确描述人类的延迟折扣。值得注意的是,拉赫林模型以及格林和迈尔森模型在组水平上解释了超过99%的方差,在个体中位数水平上解释了96%的方差。由于这两个模型都能很好地描述数据,模型选择将需要基于其他依据。

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