Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 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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Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Advances in Intelligent Systems and Computing ; 1310Verlag: Cham : Springer International Publishing, 2021Verlag: Cham : Imprint: Springer, 2021Auflage: 1st ed. 2021Beschreibung: 1 Online-Ressource(XIX, 613 p. 209 illus., 130 illus. in color.)ISBN:

9783030655969

Schlagwörter:

Andere physische Formen: 9783030655952 | 9783030655976 | Erscheint auch als: 9783030655952 Druck-Ausgabe | Erscheint auch als: 9783030655976 Druck-AusgabeDDC-Klassifikation:

006.3 23

DOI: DOI: 10.1007/978-3-030-65596-9Online-Ressourcen:

Zusammenfassung: 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. .PPN: PPN: 1743800312Package identifier: Produktsigel: ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT

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