Deconstructing the human algorithms for exploration

•Exploration algorithms can be distinguished in terms of the bias and slope of choice functions.•Two experiments show evidence for both directed and random exploration.•A hybrid algorithm provides the best quantitative model of the choice data. The dilemma between information gathering (exploration)...

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Bibliographic Details
Published in:	Cognition Vol. 173; pp. 34 - 42
Main Author:	Gershman, Samuel J.
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.04.2018 Elsevier Science Ltd
Subjects:	Algorithms Bayesian analysis Bayesian inference Bias Change agents Changes Cognition & reasoning Cognitive ability Cognitive psychology Computer applications Experiments Exploitation Exploration Explore-exploit dilemma Information gathering Learning Mathematical models Reinforcement Reinforcement learning Response bias Sampling Uncertainty Bayesian inference Explore-exploit dilemma Reinforcement learning
ISSN:	0010-0277, 1873-7838, 1873-7838
Online Access:	Get full text
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