Sure enough: efficient Bayesian learning and choice

Probabilistic decision-making is a general phenomenon in animal behavior, and has often been interpreted to reflect the relative certainty of animals’ beliefs. Extensive neurological and behavioral results increasingly suggest that animal beliefs may be represented as probability distributions, with...

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Veröffentlicht in:	Animal cognition Jg. 20; H. 5; S. 867 - 880
Hauptverfasser:	Foley, Brad R., Marjoram, Paul
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2017 Springer Nature B.V
Schlagworte:	Algorithms Animal behavior Animal cognition Bayesian analysis Behavioral Sciences Biomedical and Life Sciences Bumblebees Choice learning Cognitive ability Computer simulation Decision making Descriptions Forage Learning Life Sciences Machine learning Markov processes Mathematical models Original Paper Probability Psychology Research Zoology Learning Decision-making Uncertainty Foraging Bayesian
ISSN:	1435-9448, 1435-9456, 1435-9456
Online-Zugang:	Volltext
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