适应性规划深入人类解决问题的能力
Mattia Eluchans1,2, Gian Luca Lancia1,2, Antonella Maselli1,3
1Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy.
Royal Society open science
|April 10, 2025
概括
人类适应他们的规划策略,根据问题的复杂性选择初始计划深度. 这表明了一个有界的理性过程,优化认知资源的分配,以有效解决问题.
科学领域:
- 认知科学 认知科学
- 决策 决策 决策 决策
- 解决人类问题的方法
背景情况:
- 人类解决问题的能力是广泛的,但适应性策略仍然不完全理解.
- 具有挑战性的规划问题需要对认知资源管理采取战略方法.
研究的目的:
- 研究人类在规划不同复杂度的任务时采用的适应性策略.
- 将人类的表现与计算规划模型进行比较.
主要方法:
- 设计的解决问题的任务与不同的深度 (1-8个子目标) 的规划要求.
- 系统地将参与者的表现与既定规划模型进行比较.
- 分析了任务需求与选择的规划深度之间的关系.
主要成果:
- 参与者自适应地选择了初始规划深度,将其与每个问题所需的最低要求相匹配.
- 观察到倾向于选择最低必要的规划深度,而不是所有任务的固定深度.
- 人类的表现与表现有局限的理性模型保持一致.
结论:
- 人类解决问题的能力表现出有限的理性,调整认知资源投资以满足特定任务的需求.
- 规划深度的选择是一个灵活和适应性的认知过程.
- 这些发现有助于理解认知系统如何有效地管理有限的资源.
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