论文标题
资源理性的任务分解以最大程度地减少计划成本
Resource-rational Task Decomposition to Minimize Planning Costs
论文作者
论文摘要
人们经常按层次进行计划。也就是说，他们没有计划任务的整体代表，而是将任务分解为更简单的子任务，然后计划完成这些任务。尽管很多工作探讨了人们如何分解任务，但对人们为何以自己的方式分解任务的分析较少。在这里，我们通过将任务分解作为资源理性表示问题来解决这个问题。具体而言，我们建议人们以鉴于环境结构及其自身计划算法的有效使用的方式分解任务。使用此模型，我们复制了几个现有发现。我们的帐户为人们如何识别子任务以及研究人们如何使用资源理性表示方式来推理和采取行动的框架提供了一种规范的解释。
People often plan hierarchically. That is, rather than planning over a monolithic representation of a task, they decompose the task into simpler subtasks and then plan to accomplish those. Although much work explores how people decompose tasks, there is less analysis of why people decompose tasks in the way they do. Here, we address this question by formalizing task decomposition as a resource-rational representation problem. Specifically, we propose that people decompose tasks in a manner that facilitates efficient use of limited cognitive resources given the structure of the environment and their own planning algorithms. Using this model, we replicate several existing findings. Our account provides a normative explanation for how people identify subtasks as well as a framework for studying how people reason, plan, and act using resource-rational representations.
