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首页> 外文期刊>Journal of Behavioral Decision Making >The Right Tool for the Job? Comparing an Evidence Accumulation and a Naive Strategy Selection Model of Decision Making
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The Right Tool for the Job? Comparing an Evidence Accumulation and a Naive Strategy Selection Model of Decision Making

机译：合适的工作工具？证据积累与决策的朴素策略选择模型比较

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摘要

Analyses of multi-attribute decision problems are dominated by accounts which assume people select from a repertoire of cognitive strategies to make decisions. This paper explores an alternative account based on sequential sampling and evidence accumulation. Two experiments varied aspects of a decision environment to examine competing models of decision behavior. The results highlighted the intra-participant consistency but inter-participant differences in the amount of evidence considered in decisions. This pattern was best captured by a sequential evidence accumulation model (SEQ) which treated pure Take-The-Best (TTB) and pure "rational" (RAT) models as special cases of a single model. The SEQ model was also preferred by the minimum description length (MDL) criterion to a naive strategy-selection model (NSS) which assumed that TTB or RAT could be selected with some probability for each decision.
机译：对多属性决策问题的分析主要由帐户进行，这些帐户假定人们从一系列认知策略中进行决策。本文探讨了基于顺序抽样和证据积累的替代账户。决策环境的两个方面进行了不同的实验，以检查决策行为的竞争模型。结果强调了参与者内部一致性，但是参与者间决策中考虑的证据量存在差异。这种模式最好由顺序证据累积模型（SEQ）捕获，该模型将纯“最佳”（TTB）模型和“理性”（RAT）模型视为单个模型的特殊情况。 SEQ模型在最小描述长度（MDL）标准下也优于朴素的策略选择模型（NSS），后者假定可以为每个决策以一定的概率选择TTB或RAT。

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