How are people able to plan so efficiently despite limited cognitive resources? We aimed to answer this question by extending an existing model of human task decomposition that can explain a wide range of simple planning problems by adding structure information to the task to facilitate planning in more complex tasks. The extended model was then applied to a more complex planning domain of spatial navigation. Our results suggest that our framework can correctly predict the navigation strategies of the majority of the participants in an online experiment.

翻译：人类如何在认知资源有限的情况下仍能高效规划？我们通过扩展现有的人类任务分解模型来回答这一问题，该模型可解释多种简单规划问题。我们通过向任务中添加结构信息以促进更复杂任务中的规划过程。随后将扩展后的模型应用于空间导航这一更复杂的规划领域。结果表明，我们的框架能准确预测在线实验中绝大多数参与者的导航策略。