Mathematical Structures of Natural Intelligence

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Éditeur :

Springer

Paru le : 2017-12-01

This book uncovers mathematical structures underlying natural intelligence and applies category theory as a modeling language for understanding human cognition, giving readers new insights into the nature of human thought. In this context, the book explores various topics and questions, such as the ...
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À propos

Auteur

Éditeur

Collection
n.c

Parution
2017-12-01

Pages
173 pages

EAN papier
9783319682457

Auteur(s) du livre


Yair Neuman is a Professor at The Department of Brain and Cognitive Sciences and the Zlotowski Center for Neuroscience at Ben-Gurion University. He holds a BA in Psychology (Major) and Philosophy (Minor) and a PhD in Cognition (Hebrew University, 1999), and his expertise is in studying complex cognitive, social, and symbolic systems from a unique interdisciplinary approach. Professor Neuman has published numerous papers and five academic books and has been a visiting scholar or professor at MIT, the University of Toronto, the University of Oxford, and the Weizmann Institute of Science. Beyond his purely academic work, he has developed state-of-the-art algorithms for social and cognitive computing, such as those he developed for the IARPA metaphor project (ADAMA group).

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EAN PDF
9783319682464
Prix
89,66 €
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
2314 Ko
EAN EPUB
9783319682464
Prix
89,66 €
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
584 Ko

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