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Record Nr. |
UNINA9910483009303321 |
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Titolo |
Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICAAI 2020 : Proceedings of the 11th Annual Meeting of the BICA Society / / edited by Alexei V. Samsonovich, Ricardo R. Gudwin, Alexandre da Silva Simões |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (XIX, 613 p. 209 illus., 130 illus. in color.) |
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Collana |
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Advances in Intelligent Systems and Computing, , 2194-5365 ; ; 1310 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Cognition |
Virtual reality |
Augmented reality |
Computational Intelligence |
Artificial Intelligence |
Virtual and Augmented Reality |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Sommario/riassunto |
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The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Eleventh Annual Meeting of the BICA Society, held on November 10-14, 2020, in Natal, Brazil, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future |
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developments in the broadly intended areas of artificial intelligence and biological inspiration. . |
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