Ideal Partition of Resources for Metareasoning
  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.
