心理信息
控制(管理)
背景(考古学)
任务(项目管理)
认知
可能性
心理学
认知心理学
计算机科学
认知科学
人工智能
机器学习
梅德林
神经科学
管理
法学
经济
逻辑回归
古生物学
生物
政治学
作者
Julie M. Bugg,Tobias Egner
摘要
The guiding question of this special issue is how people learn to adapt control in a context-sensitive manner ("control learning"). Broadly speaking, the hypothesis probed by the articles herein is that this occurs via learning about regularities in the (task) environment, which in turn guides the engagement of control. This can take place in the form of incremental learning of the contextual likelihood of control demands (e.g., the accumulating realization that the current block of trials seems to be of high difficulty), and/or by associating specific stimuli or "events" with spe- cific control demands, which can subsequently be retrieved in response to those stimuli/events. However, depending on context, adaptive control and the processes of learning and memory can also be at odds with one another. The studies in this special issue tackle three key themes surrounding learning-control interactions. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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