TOWARD A UNIFIED THEORY OF SIMILARITY AND RECOGNITION
TOWARD A UNIFIED THEORY OF SIMILARITY AND RECOGNITION
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DOI：
10.1037/0033-295x.95.1.124
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发表时间：
1988-01-01
影响因子：
5.4
通讯作者：
PERRIN, NA
中科院分区：
文献类型：
--
作者：
ASHBY, FG;PERRIN, NA
在检测和识别文献的基础上，提出了一种新的相似性理论。一般的再认理论认为，刺激的知觉效果是随机的，但在任何一次试验中，它都可以被表示为多维空间中的一个点。相似性是感知分布重叠的函数。它表明，一般的识别理论包含欧氏距离模型的相似性作为一个特殊的情况下，但与他们不同，它不受任何距离公理。三个实验报告，测试的理论的经验有效性。在这些实验中，通用识别理论和当前流行的相似性理论一样，也解释了相似性数据，它和长期以来的”冠军”识别模型一样，解释了识别数据。（PsycINFO数据库记录（c）2016阿帕，保留所有权利）
A new theory of similarity, rooted in the detection and recognition literatures, is developed. The general recognition theory assumes that the perceptual effect of a stimulus is random but that on any single trial it can be represented as a point in a multidimensional space. Similarity is a function of the overlap of perceptual distributions. It is shown that the general recognition theory contains Euclidean distance models of similarity as a special case but that unlike them, it is not constrained by any distance axioms. Three experiments are reported that test the empirical validity of the theory. In these experiments the general recognition theory accounts for similarity data as well as the currently popular similarity theories do, and it accounts for identification data as well as the longstanding" champion" identification model does.(PsycINFO Database Record (c) 2016 APA, all rights reserved)