Bayesian Statistics and Utility Functions in Sensorimotor Control
Bayesian Statistics and Utility Functions in Sensorimotor Control
This chapter, which investigates how decision theory can be applied to the study of sensorimotor control, focuses on the concepts behind Bayesian decision making and their application to decisions in human movement. First, it discusses the concept of a utility function and how it quantifies the relative values of different decision outcomes. The chapter then examines whether people use Bayesian statistics to estimate the values of variables important to movement, how people’s utility function is defined, and how people represent probabilities and combine them with utilities to choose how to move.
Keywords: decision, sensorimotor control, Bayesian decision making, movement, utility function, Bayesian statistics
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