Computational approaches to the development of perceptual expertise

被引:113
作者
Palmeri, TJ
Wong, ACN
Gauthier, I
机构
[1] Vanderbilt Univ, Dept Psychol, Nashville, TN 37240 USA
[2] Vanderbilt Univ, Ctr Integrat & Cognit Neurosci, Nashville, TN 37240 USA
关键词
D O I
10.1016/j.tics.2004.06.001
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Dog experts, ornithologists, radiologists and other specialists are noted for their remarkable abilities at categorizing, identifying and recognizing objects within their domain of expertise. A complete understanding of the development of perceptual expertise requires a combination of thorough empirical research and carefully articulated computational theories that formalize specific hypotheses about the acquisition of expertise. A comprehensive computational theory of the development of perceptual expertise remains elusive, but we can look to existing computational models from the object-recognition, perceptual-categorization, automaticity and related literatures for possible starting points. Arguably, hypotheses about the development of perceptual expertise should first be explored within the context of existing computational models of visual object understanding before considering the creation of highly modularized adaptations for particular domains of perceptual expertise.
引用
收藏
页码:378 / 386
页数:9
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