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A Skill-Based Approach to Modeling the Attentional Blink.
Topics in Cognitive Science ( IF 3.265 ) Pub Date : 2020-07-17 , DOI: 10.1111/tops.12514
Corné Hoekstra 1 , Sander Martens 2 , Niels A Taatgen 1
Affiliation  

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.

中文翻译:

基于技能的注意力眨眼建模方法。

人们通常可以快速学习新任务。这很难用认知模型来解释,因为它们要么需要广泛的特定于任务的知识,要么需要很长时间的培训。在本文中,我们尝试通过建议任务知识可以分解为技能来解决此问题。技能是一组与任务无关的知识,可以重复用于不同任务。作为演示,我们从视觉注意力和工作记忆模型中提取的一般技能创建了注意力眨眼模型。结果表明这是一种可行的建模方法,可能会导致更通用的模型。
更新日期:2020-07-17
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