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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Vydané v:	Cognition Ročník 173; s. 34 - 42
Hlavný autor:	Gershman, Samuel J.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier B.V 01.04.2018 Elsevier Science Ltd
Predmet:	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
On-line prístup:	Získať plný text
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