This is a legacy website for the Behavioural Design Lab. It is no longer updated.
Behavioural Design Lab Subscribe Bird Contact

Bayesian decision theory in sensorimotor control

Psychology, action, bayes, decision making, perception

Abstract

Action selection is a fundamental decision process for us, and depends on the state of both our body and the environment. Because signals in our sensory and motor systems are corrupted by variability or noise, the nervous system needs to estimate these states. To select an optimal action these state estimates need to be combined with knowledge of the potential costs or rewards of different action outcomes. We review recent studies that have investigated the mechanisms used by the nervous system to solve such estimation and decision problems, which show that human behaviour is close to that predicted by Bayesian Decision Theory. This theory defines optimal behaviour in a world characterized by uncertainty, and provides a coherent way of describing sensorimotor processes.

View fulltext on journal website...

Related content

Leaders as Decision Architects

Do humans make good decisions?

Identifying the Biases Behind Your Bad Decisions

© 2015 Warwick Business School and the Design Council