We humans are capable of solving challenging planning problems, but the range of adaptive strategies that we use to address them are not yet fully characterized. Here, we designed a series of problem-solving tasks that require planning at different depths. After systematically comparing the performance of participants and planning models, we found that when facing problems that require planning to a certain number of subgoals (from 1 to 8), participants make an adaptive use of their cognitive resources - namely, they tend to select an initial plan having the minimum required depth, rather than selecting the same depth for all problems. These results support the view of problem solving as a bounded rational process, which adapts costly cognitive resources to task demands.

中文翻译：

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人类问题解决中的自适应规划深度

我们人类有能力解决具有挑战性的规划问题，但我们用来解决这些问题的适应性策略的范围尚未完全确定。在这里，我们设计了一系列需要不同深度规划的解决问题的任务。在系统地比较参与者和规划模型的表现后，我们发现，当面临需要规划一定数量的子目标（从1到8）的问题时，参与者会适应性地使用他们的认知资源——即，他们倾向于选择一个初始计划具有所需的最小深度，而不是为所有问题选择相同的深度。这些结果支持了问题解决作为有限理性过程的观点，该过程根据任务需求调整昂贵的认知资源。