Biologically Inspired Cognitive Architectures 2023: Proceedings of the 14th Annual Meeting of the BICA Society: Studies in Computational Intelligence, cartea 1130
Editat de Alexei V. Samsonovich, Tingting Liuen Limba Engleză Hardback – 14 feb 2024
Din seria Studies in Computational Intelligence
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Specificații
ISBN-13: 9783031503801
ISBN-10: 3031503805
Pagini: 1048
Ilustrații: XXIII, 1048 p. 375 illus., 275 illus. in color. In 2 volumes, not available separately.
Dimensiuni: 155 x 235 mm
Ediția:2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3031503805
Pagini: 1048
Ilustrații: XXIII, 1048 p. 375 illus., 275 illus. in color. In 2 volumes, not available separately.
Dimensiuni: 155 x 235 mm
Ediția:2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
Textul de pe ultima copertă
The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, including artificial intelligence, linguistics, neuro- and social sciences, psychology and philosophy of mind, among others. The chapters are based on contributions presented at the 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence (the 14th Annual Meeting of the BICA Society, BICA*AI 2023), organized in collaboration with the University of Ningbo and held on October 13-15, 2023, in Ningbo, China. The book discusses 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. It 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.
Caracteristici
Reports on biologically inspired approaches and their applications Bridges between artificial intelligence, and cognitive, neuro- and social sciences Highlights innovative research addressing the BICA Challenge