Internal world models in humans, animals, and AI

Internal world models in humans, animals, and AI

How do brains—biological or artificial—respond and adapt to an ever-changing environment? In a recent meeting, experts from various fields of neuroscience and artificial intelligence met to discuss internal world models in brains and machines, arguing for an interdisciplinary approach to gain deeper...

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Veröffentlicht in:Neuron (Cambridge, Mass.) Mass.), 2024-07, Vol.112 (14), p.2265-2268
Hauptverfasser: Diester, Ilka, Bartos, Marlene, Bödecker, Joschka, Kortylewski, Adam, Leibold, Christian, Letzkus, Johannes, Nour, Matthew M., Schönauer, Monika, Straw, Andrew, Valada, Abhinav, Vlachos, Andreas, Brox, Thomas
Format: Artikel
Sprache:eng
Schlagworte:
Animals
Artificial Intelligence
Brain - physiology
Humans
Models, Neurological
Neurosciences
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Beschreibung
Zusammenfassung:How do brains—biological or artificial—respond and adapt to an ever-changing environment? In a recent meeting, experts from various fields of neuroscience and artificial intelligence met to discuss internal world models in brains and machines, arguing for an interdisciplinary approach to gain deeper insights into the underlying mechanisms. How do brains—biological or artificial—respond and adapt to an ever-changing environment? In a recent meeting, experts from various fields of neuroscience and artificial intelligence met to discuss internal world models in brains and machines, arguing for an interdisciplinary approach to gain deeper insights into the underlying mechanisms.
ISSN:0896-6273
1097-4199
1097-4199
DOI:10.1016/j.neuron.2024.06.019