An integrated model of cognitive control in task switching
An integrated model of cognitive control in task switching
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DOI：
10.1037/0033-295x.115.3.602
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发表时间：
2008-07-01
影响因子：
5.4
通讯作者：
Gray, Wayne D.
中科院分区：
文献类型：
--
作者：
Altmann, Erik M.;Gray, Wayne D.
在任务切换的认知控制模型的开发，其中控制性能取决于系统保持访问的代码在情节记忆代表最近的线索任务。访问当前任务代码的主要限制是来自旧任务代码的主动干扰。这种干扰和与之抗衡的机制在模拟时再现了广泛的行为现象，包括众所周知的任务切换效应，如延迟和错误切换成本，以及其他理论沉默的效应，如运行减慢和运行内错误增加。该模型概括了多个任务转换过程，这表明情景任务代码在保持认知系统在各种性能约束下的重点发挥了重要作用。
A model of cognitive control in task switching is developed in which controlled performance depends on the system maintaining access to a code in episodic memory representing the most recently cued task. The main constraint on access to the current task code is proactive interference from old task codes. This interference and the mechanisms that contend with it reproduce a wide range of behavioral phenomena when simulated, including well-known task-switching effects, such as latency and error switch costs, and effects on which other theories are silent, such as with-run slowing and within-run error increase. The model generalizes across multiple task-switching procedures, suggesting that episodic task codes play an important role in keeping the cognitive system focused under a variety of performance constraints.