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Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICAAI 2020 : proceedings of the 11th Annual Meeting of the BICA Society / / Alexei V. Samsonovich; Ricardo R. Gudwin; Alexandre da Silva Simões



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Titolo: Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICAAI 2020 : proceedings of the 11th Annual Meeting of the BICA Society / / Alexei V. Samsonovich; Ricardo R. Gudwin; Alexandre da Silva Simões Visualizza cluster
Pubblicazione: Cham, Switzerland : , : Springer, , [2021]
©2021
Edizione: 1st ed. 2021.
Descrizione fisica: 1 online resource (XIX, 613 p. 209 illus., 130 illus. in color.)
Disciplina: 016.403
Soggetto topico: Artificial intelligence
Cognitive psychology
Computational intelligence
Persona (resp. second.): GudwinRicardo R.
SimõesAlexandre da Silva
SamsonovichAlexei V.
Note generali: Includes index.
Sommario/riassunto: 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 developments in the broadly intended areas of artificial intelligence and biological inspiration. .
Titolo autorizzato: AI 2020  Visualizza cluster
ISBN: 3-030-65596-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910483009303321
Lo trovi qui: Univ. Federico II
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Serie: Advances in Intelligent Systems and Computing, . 2194-5357 ; ; 1310
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