在年轻和老年人的顺序规划中,在低概率和概率折扣中对决策树进行启发式修剪
Sophia-Helen Sass1, Lorenz Gönner1, Sarah Schwöbel2
1Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Würzburger Str. 35, 01187, Dresden, Germany.
Scientific reports
|May 9, 2025
概括
人类通过在规划过程中消除低概率的选项来有效地修剪决策树. 这项研究揭示了规划深度和概率折扣的年龄相关差异,影响了老年人的决策表现.
科学领域:
- 认知科学 认知科学
- 神经科学是一个神经科学.
- 心理学 心理学 心理学
背景情况:
- 人类规划包括通过修剪决策树来减少计算复杂性.
- 在概率环境中对裁剪的理解以及像概率折扣这样的决策偏差的影响仍然有限.
研究的目的:
- 在三个步骤的决策任务中调查低概率选项的修剪.
- 分析概率折扣对规划策略的影响.
- 探索年龄相关的年轻人和老年人之间的规划差异.
主要方法:
- 使用了三步决策任务.
- 员工强化学习建模和模型比较.
- 在年轻 (18-35岁) 和老年人 (65-75岁) 中比较规划策略.
主要成果:
- 参与者有效地削减了低概率的决策分支,减少了计算负载.
- 规划的深度被减少了,受影响的是低估了高概率的结果.
- 年长的成年人表现出更大的规划深度减少,决策噪音增加,以及更明显的概率折扣.
结论:
- 削减低概率选项是概率环境中有效的规划策略.
- 与年龄相关的规划绩效下降与规划深度降低和老年人折扣概率增加有关.
- 需要进一步的研究来理解管理规划策略的元控制机制.
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