Back to search

Article

Point estimate observers: A new class of models for perceptual decision making

2021-04-13

Abstract excerpt

<p>Bayesian optimal inference is often heralded as a principled, general framework for human perception. However, optimal inference requires integration over all possible world states, which quickly becomes intractable in complex real-world settings. Additionally, deviations from optimal inference have been observed in human decisions. A number of approximation methods have previously been suggested, such as sampl...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
1b2684f3-2b90-588e-85e0-7c9775fbf5f3
DOI
10.31234/osf.io/bqkf4
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Point estimate observers: A new class of models for perceptual decision makingDOI 10.31234/osf.io/bqkf4
Select a neighboring publication to make it the new centre.