Biologically Inspired Cognitive Architectures 2018 : Proceedings of the Ninth Annual Meeting of the BICA Society / / edited by Alexei V. Samsonovich

• Record Nr.: UNINA9910484896503321
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
• ISBN: 3-319-99316-X
• Edizione: [1st ed. 2019.]
• Descrizione fisica: 1 online resource (377 pages)
• Collana: Advances in Intelligent Systems and Computing, , 2194-5365 ; ; 848
• Disciplina: 006
• Soggetti: Computational intelligence; Artificial intelligence; Neurosciences; Cognitive psychology; Biometric identification; Computational Intelligence; Artificial Intelligence; Neuroscience; Cognitive Psychology; Biometrics
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• 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 Ninth Annual Meeting of the BICA Society, held in on August 23-24, 2018, in Prague, Czech Republic, 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.