We can achieve significant gains in the value of computation by metareasoning about the nature or extent of base-level problem solving before executing a solution. However, resources that are irrevocably committed to metareasoning are not available for executing a solution. Thus, it is important to determine the portion of resources we wish to apply to metareasoning and control versus to the execution of a solution plan. Recent research on rational agency has highlighted the importance of limiting the consumption of resources by metareasoning machinery. We shall introduce the metareasoning-partition problem--the problem of ideally apportioning costly reasoning resources to planning a solution versus applying resource to executing a solution to a problem. We exercise prototypical metareasoning-partition models to probe the relationships between time allocated to metareasoning and to execution for different problem classes. Finally, we examine the value of metareasoning in the context of our functional analyses.
翻译：在执行解决方案之前,我们可以从基础层面解决问题的性质或程度出发,实现计算价值的重大增益。然而,无法为执行解决方案提供不可撤销地承诺用于转化的资源。因此,必须确定我们希望用于转换和控制的资源比例,而不是用于执行解决方案计划的资源比例。最近关于合理机构的研究强调了通过转换机制限制资源消费的重要性。我们将引入一个超正派问题,即理想的做法是将昂贵的推理资源用于规划解决方案,而将资源用于实施问题的解决方案。我们采用反常的反向分配模式,以探究分配用于转换和控制的时间和用于不同问题类别执行的时间之间的关系。最后,我们结合我们的职能分析,审查元化价值。
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