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A response-time approach to comparing generalized rational and take-the-best models of decision making

机译:一种响应时间方法,用于比较广义理性决策和最佳决策模型

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The authors develop and test generalized versions of take-the-best (TTB) and rational (RAT) models of multiattribute paired-comparison inference. The generalized model,,, make allowances for subjective attribute weighting, probabilistic orders of attribute inspection, and noisy decision making. A key new test involves a response-time (RT) approach. TTB predicts that RT is determined solely by the expected time required to locate the 1st discriminating attribute, whereas RAT predicts that RT is determined by the difference in summed evidence between the 2 alternatives. Critical test pairs are used that partially decouple these 2 factors. Under conditions in which ideal observer TTB and RAT strategies yield equivalent decisions. both the RT results and the estimated attribute weights suggest that the vast majority of subjects adopted the generalized TTB strategy. The RT approach is also validated in an experimental condition in which use of a RAT strategy is essentially forced upon subjects.
机译:作者开发并测试了多属性配对比较推断的最佳(TTB)模型和有理(RAT)模型的广义版本。通用模型允许主观属性加权,属性检查的概率顺序和嘈杂的决策制定。一项关键的新测试涉及响应时间(RT)方法。 TTB预测RT仅由定位第一个区分属性所需的预期时间决定,而RAT预测RT由2个选择之间的总和差异决定。关键测试对用于部分分离这两个因素。在理想的观察者TTB和RAT策略产生等效决策的条件下。 RT结果和估计的属性权重均表明绝大多数受试者采用了广义TTB策略。 RT方法也已在实验条件下得到了验证,在该条件下,本质上强迫受试者使用RAT策略。

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