Abstract
Planning, prospective memory, and decision-making: three challenges for hierarchical predictive processing models
Highlights
The present commentary on Clark will emphasize and discuss the role that high processing related to action planning may have in Bayesian predictive processing and will suggest possible directions for managing the issue
Clark agrees to define planning as follows: “we imagine a future goal state as actual, use Bayesian inference to find the set of intermediate states that get us there” (§1.5)
People are used to facing underspecified tasks in which a future goal state cannot be employed to derive the intermediate states
Summary
The present commentary on Clark (in press) will emphasize and discuss the role that high processing related to action planning may have in Bayesian predictive processing and will suggest possible directions for managing the issue. Clark agrees to define planning as follows: “we imagine a future goal state as actual, use Bayesian inference to find the set of intermediate states (which can themselves be whole actions) that get us there” (§1.5). The first aspect entails the hierarchical vision of a plan as a succession of intermediate states.
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