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A Skill‐Based Approach to Modeling the Attentional Blink
Author(s) -
Hoekstra Corné,
Martens Sander,
Taatgen Niels A.
Publication year - 2020
Publication title -
topics in cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.191
H-Index - 56
eISSN - 1756-8765
pISSN - 1756-8757
DOI - 10.1111/tops.12514
Subject(s) - task (project management) , session (web analytics) , set (abstract data type) , computer science , cognitive psychology , attentional blink , cognition , working memory , task analysis , human–computer interaction , psychology , management , neuroscience , world wide web , economics , programming language
People can often learn new tasks quickly. This is hard to explain with cognitive models because they either need extensive task‐specific knowledge or a long training session. In this article, we try to solve this by proposing that task knowledge can be decomposed into skills. A skill is a task‐independent set of knowledge that can be reused for different tasks. As a demonstration, we created an attentional blink model from the general skills that we extracted from models of visual attention and working memory. The results suggest that this is a feasible modeling method, which could lead to more generalizable models.