Cognitive architecture enables comprehensive predictive models of visual search

被引：0

作者：

Kieras, David E. ^{[1
]}

Hornof, Anthony ^{[2
]}

机构：

[1] Univ Michigan, EECS Dept, Ann Arbor, MI 48109 USA

[2] Univ Oregon, Dept Comp & Informat Sci, Eugene, OR 97403 USA

来源：

BEHAVIORAL AND BRAIN SCIENCES | 2017年 / 40卷

关键词：

D O I：

10.1017/S0140525X16000121

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

With a simple demonstration model, Hulleman & Olivers (H&O) effectively argue that theories of visual search need an overhaul. We point to related literature in which visual search is modeled in even more detail through the use of computational cognitive architectures that incorporate fundamental perceptual, cognitive, and motor mechanisms; the result of such work thus far bolsters their arguments considerably.

引用

页码：29 / 30

页数：2