DECISION RULES IN THE PERCEPTION AND CATEGORIZATION OF MULTIDIMENSIONAL STIMULI
DECISION RULES IN THE PERCEPTION AND CATEGORIZATION OF MULTIDIMENSIONAL STIMULI
复制标题
DOI：
10.1037/0278-7393.14.1.33
复制
发表时间：
1988-01-01
影响因子：
2.6
通讯作者：
GOTT, RE
中科院分区：
文献类型：
--
作者：
ASHBY, FG;GOTT, RE
本文探讨决策过程中的知觉和分类的刺激构造从一个或多个组件。首先，一个一般的感知理论是用来正式表征大类现有的决策模型，根据他们在多维感知空间中预测的决策边界的类型。一个新的实验范式的发展，使人们有可能准确地估计一个主题的决策边界的分类任务。三个实验使用这种范式的报告。三个结论突出：（a）受试者采用确定性决策规则，也就是说，对于感知空间中的给定位置，大多数受试者总是给出相同的反应;（B）受试者使用的决策规则几乎是最优的;（c）受试者使用的决策界限类型的唯一约束是它需要实现的认知能力。受试者不受约束，使每个组件的独立决定，或参加到每个原型的距离。（PsycINFO数据库记录（c）2016阿帕，保留所有权利）
This article examines decision processes in the perception and categorization of stimuli constructed from one or more components. First, a general perceptual theory is used to formally characterize large classes of existing decision models according to the type of decision boundary they predict in a multidimensional perceptual space. A new experimental paradigm is developed that makes it possible to accurately estimate a subject's decision boundary in a categorization task. Three experiments using this paradigm are reported. Three conclusions stand out:(a) Subjects adopted deterministic decision rules, that is, for a given location in the perceptual space, most subjects always gave the same response;(b) subjects used decision rules that were nearly optimal; and (c) the only constraint on the type of decision bound that subjects used was the amount of cognitive capacity it required to implement. Subjects were not constrained to make independent decisions on each component or to attend to the distance to each prototype.(PsycINFO Database Record (c) 2016 APA, all rights reserved)