CUED Publications database

Theoretical perspectives on active sensing

Yang, SCH and Wolpert, DM and Lengyel, M (2016) Theoretical perspectives on active sensing. Current Opinion in Behavioral Sciences, 11. pp. 100-108.

Full text not available from this repository.


© 2016 Elsevier LtdA key component of interacting with the world is how to direct ones’ sensors so as to extract task-relevant information — a process referred to as active sensing. In this review, we present a framework for active sensing that forms a closed loop between an ideal observer, that extracts task-relevant information from a sequence of observations, and an ideal planner which specifies the actions that lead to the most informative observations. We discuss active sensing as an approximation to exploration in the wider framework of reinforcement learning, and conversely, discuss several sensory, perceptual, and motor processes as approximations to active sensing. Based on this framework, we introduce a taxonomy of sensing strategies, identify hallmarks of active sensing, and discuss recent advances in formalizing and quantifying active sensing.

Item Type: Article
Divisions: Div F > Computational and Biological Learning
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:34
Last Modified: 22 May 2018 07:16