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| Titolo: |
Biologically Inspired Cognitive Architectures 2019 : Proceedings of the Tenth Annual Meeting of the BICA Society / / edited by Alexei V. Samsonovich
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Edizione: | 1st ed. 2020. |
| Descrizione fisica: | 1 online resource (636 pages) |
| Disciplina: | 006 |
| 006.38 | |
| Soggetto topico: | Computational intelligence |
| Artificial intelligence | |
| Neurosciences | |
| Cognitive psychology | |
| Biometric identification | |
| Computational Intelligence | |
| Artificial Intelligence | |
| Neuroscience | |
| Cognitive Psychology | |
| Biometrics | |
| Persona (resp. second.): | SamsonovichAlexei V |
| 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 Tenth Annual Meeting of the BICA Society, held in on August 15-18, 2019, in Seattle, WA, USA, 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: | Biologically Inspired Cognitive Architectures 2019 ![]() |
| ISBN: | 3-030-25719-3 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910484203703321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |