一个多层自动化模型:推动自动行动控制出现的核心过程
Hermann Müller1, Rouwen Cañal-Bruland2, Stefan Künzell3
1Department of Sport Science, Justus Liebig University Giessen, Germany.
Acta psychologica
|December 12, 2025
概括
自动化通过实践通过多层自动化模型 (MMA) 出现. 这个模型展示了认知控制水平如何学习和适应,使技能逐渐增长并释放认知资源.
科学领域:
- 认知心理学 认知心理学
- 神经科学是一个神经科学.
- 学习科学 学习科学
背景情况:
- 学习中的自动性是复杂的,关于它的定义和机制有各种各样的理论.
- 从非自动处理过渡到自动处理缺乏统一的解释模型.
研究的目的:
- 提出一个新的多层自动化模型 (MMA),解释自动化如何通过实践出现.
- 将自动性概念化为一个渐进的,而不是二进制的属性.
主要方法:
- 该MMA设置了具有自适应控制单元的等级组织的处理级别.
- 这些单位学习规律,预测任务,并产生目标导向的输出.
- 自动化被建模为降低级别间控制信号交换.
主要成果:
- 该MMA规定了自动化的先决条件和机制.
- 它展示了较低的处理级别如何获得独立性,释放更高级别的能力.
- 自动性的程度可以通过控制信号交换来量化.
结论:
- 该MMA为理解人类自动化作为一个渐进的过程提供了一个框架.
- 它为自动化行为提供预测,并确定未来研究的领域.
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