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  Uncertainty in learning, choice and visual fixation

Stojic, H., Orquin, J., Dayan, P., & Dolan, R. (submitted). Uncertainty in learning, choice and visual fixation.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-CC80-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-CC81-5
Genre: Journal Article

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Stojic, H, Author
Orquin, JL, Author
Dayan, P1, 2, Author              
Dolan, R, Author
Affiliations:
1Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017468              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Uncertainty has a critical role in reinforcement learning and decision making. However, exactly how it influences behaviour remains unclear. Multi-armed bandit tasks offer an ideal test-bed, since computational tools such as approximate Kalman filters can closely characterize the interplay between trial-by-trial values, uncertainty, learning, and choice. To gain additional insight into learning and choice processes we obtained data from subjects' overt allocation of gaze. The value and uncertainty of options influenced what subjects looked at before choosing; these same quantities also influenced choice, along with an additional contribution from fixation itself. Absolute prediction errors determined how long participants looked at the obtained outcomes. These findings affirm the importance of uncertainty in multiple facets of behaviour, and help delineate its effects on decision making.

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 Dates: 2019-06
 Publication Status: Submitted
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 Identifiers: DOI: 10.31234/osf.io/zuge2
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