适应性控制策略的强化学习
Leslie K Held1, Luc Vermeylen2, David Dignath3
1Department of Experimental Psychology, Ghent University, Henri Dunantlaan 2, 9000, Ghent, Belgium. leslie.held@ugent.be.
Communications psychology
|September 6, 2024
概括
人们可以通过强化来调整认知控制,根据任务执行的奖励来调整他们的注意力. 这项研究表明,强化学习可以优化认知控制策略.
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.
背景情况:
- 认知控制允许人类通过调整对任务信息的依赖来调节目标导向的行为.
- 传统上,认知控制调整与经历或预期的任务规则冲突有关.
研究的目的:
- 调查认知控制设置是否可以通过强化学习来适应.
- 为了检查选择性奖励对一致或不一致试验的表现如何影响认知控制.
主要方法:
- 三个预先注册的任务切换实验,涉及415名参与者.
- 在高 (不一致) 或低 (一致) 任务规则冲突的试验中选择性加强正确的性能.
- 漂移扩散建模以分析试验内的调整.
主要成果:
- 对于不一致的试验得到奖励的参与者表现出较小的一致性效应,表明适应性控制.
- 强化成功调节了基于奖励计划的认知控制设置.
- 漂移扩散模型建议在响应值中进行冲突依赖的调整.
结论:
- 认知控制策略可以通过强化来学习,类似于刺激-反应关联.
- 强化学习提供了一个优化认知控制的机制,以应对环境突发事件.
- 研究结果强调了通过基于奖励的学习来实现认知控制适应的灵活性.
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