Information-seeking, curiosity, and attention: computational and neural mechanisms

Highlights • Information-seeking can be driven by extrinsic or intrinsic rewards. • Curiosity may result from an intrinsic desire to reduce uncertainty. • Curiosity-driven learning is evolutionarily useful and can self-organize development. • Eye movements can provide an excellent model system for i...

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Veröffentlicht in:	Trends in cognitive sciences 2013-11, Vol.17 (11), p.585-593
Hauptverfasser:	Gottlieb, Jacqueline, Oudeyer, Pierre-Yves, Lopes, Manuel, Baranes, Adrien
Format:	Artikel
Sprache:	eng
Schlagworte:	Activity levels. Psychomotricity Animals Artificial Intelligence Attention - physiology Biological and medical sciences Brain - physiology Cognitive science Computer science Exploratory Behavior - physiology Fundamental and applied biological sciences. Psychology Humans Information Seeking Behavior - physiology Neurology Neuroscience Psychiatry Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Vigilance. Attention. Sleep
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Beschreibung
Zusammenfassung:	Highlights • Information-seeking can be driven by extrinsic or intrinsic rewards. • Curiosity may result from an intrinsic desire to reduce uncertainty. • Curiosity-driven learning is evolutionarily useful and can self-organize development. • Eye movements can provide an excellent model system for information-seeking. • Computational and neural approaches converge to further our understanding of information-seeking.
ISSN:	1364-6613 1879-307X
DOI:	10.1016/j.tics.2013.09.001