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从信息处理到决策:形式化并比较具有心理合理性的选择模型。

From information processing to decisions: Formalizing and comparing psychologically plausible choice models.

作者信息

Heck Daniel W, Hilbig Benjamin E, Moshagen Morten

机构信息

School of Social Sciences, Department of Psychology, University of Mannheim, Mannheim, Germany.

Department of Psychology, University of Koblenz-Landau, Landau, Germany; Max-Planck Institute for Research on Collective Goods, Germany.

出版信息

Cogn Psychol. 2017 Aug;96:26-40. doi: 10.1016/j.cogpsych.2017.05.003. Epub 2017 Jun 8.

Abstract

Decision strategies explain how people integrate multiple sources of information to make probabilistic inferences. In the past decade, increasingly sophisticated methods have been developed to determine which strategy explains decision behavior best. We extend these efforts to test psychologically more plausible models (i.e., strategies), including a new, probabilistic version of the take-the-best (TTB) heuristic that implements a rank order of error probabilities based on sequential processing. Within a coherent statistical framework, deterministic and probabilistic versions of TTB and other strategies can directly be compared using model selection by minimum description length or the Bayes factor. In an experiment with inferences from given information, only three of 104 participants were best described by the psychologically plausible, probabilistic version of TTB. Similar as in previous studies, most participants were classified as users of weighted-additive, a strategy that integrates all available information and approximates rational decisions.

摘要

决策策略解释了人们如何整合多种信息来源以进行概率推断。在过去十年中,已经开发出越来越复杂的方法来确定哪种策略最能解释决策行为。我们扩展了这些研究,以测试心理上更合理的模型(即策略),包括一种新的、概率性的“取最好的”(TTB)启发式方法,该方法基于顺序处理实现错误概率的排序。在一个连贯的统计框架内,可以使用最小描述长度或贝叶斯因子进行模型选择,直接比较TTB和其他策略的确定性和概率性版本。在一项从给定信息进行推断的实验中,104名参与者中只有3人能被心理上合理的概率性TTB版本最好地描述。与之前的研究类似,大多数参与者被归类为加权加法策略的使用者,该策略整合了所有可用信息并近似于理性决策。

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