人类理性地平衡详细和暂时抽象的世界模型
Ari E Kahn1, Nathaniel D Daw2,3
1Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA. arik@princeton.edu.
Communications psychology
|January 4, 2025
概括
人们使用继任者代表 (SR) 和基于模型的决策策略. 当环境可预测性降低时,对SR的依赖会减少,显示出适应性学习.
科学领域:
- 认知神经科学 认知神经科学
- 计算精神病学是一种计算精神病学.
背景情况:
- 大脑为决策模型世界动态,经常通过继承者表示 (SR) 使用时间抽象.
- 了解个人差异和SR使用中的动态调整至关重要,但仍未得到充分探索.
研究的目的:
- 在动态学习过程中开发和使用一项测量试验逐试验SR使用的新任务.
- 研究SR和基于模型的学习策略之间的相互作用.
- 检查SR的资源合理性和适应性,以应对环境可预测性.
主要方法:
- 开发一个动态的学习任务来量化SR和基于模型的战略使用.
- 在主体内部操纵任务突发事件以改变时间抽象需求.
- 对行为数据的分析,以评估策略组合和适应性调整.
主要成果:
- 参与者展示了SR和基于模型的学习策略的异质混合.
- 依赖SR是资源合理的,随着环境可预测性降低而下降.
- 个人使用策略根据任务需求和可预测性而动态变化.
结论:
- 大脑在包括SR和基于模型的方法在内的近似决策策略之间采用灵活的仲裁.
- 个人根据环境的可预测性,动态地调整他们使用预测模型的使用,如SR.
- 这项研究扩展了对简单习惯之外的近似预测建模的理解.
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