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Adaptive Sampling of Information in Perceptual Decision-Making

29 November 2013

A new paper by Dr. Casimir Ludwig and PhD student David Evens develops a computational "ideal observer" model and compares its predictions with active gaze behaviour of human observers in a perceptual decision task.

Many human and animal decision problems (e.g., choosing which of several food products to buy; where to establish a new nest) involve gathering information from a number of different sources before choosing a course of action. A challenging question is how time should be allocated to different sources of information, when sources can only be sampled one at a time, the quality of the information provided may vary across sources and switching between sources is costly.

A new paper by Dr. Casimir Ludwig and PhD student David Evens develops a computational "ideal observer" model and compares its predictions with active gaze behaviour of human observers in a perceptual decision task.

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