Biologically Inspired Cognitive Architectures 2021: Studies in Computational Intelligence
Editat de Valentin V. Klimov, David J. Kelleyen Limba Engleză Paperback – 26 mar 2023
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 1405.15 lei 6-8 săpt. | |
| Springer – 26 mar 2023 | 1405.15 lei 6-8 săpt. | |
| Hardback (1) | 1410.74 lei 6-8 săpt. | |
| Springer – 25 mar 2022 | 1410.74 lei 6-8 săpt. |
Din seria Studies in Computational Intelligence
- 20%
Preț: 486.29 lei - 20%
Preț: 1009.02 lei - 20%
Preț: 1003.51 lei - 20%
Preț: 1025.34 lei - 20%
Preț: 1008.57 lei - 20%
Preț: 1008.34 lei - 20%
Preț: 1124.84 lei - 18%
Preț: 2403.93 lei - 20%
Preț: 1400.58 lei - 20%
Preț: 1119.57 lei - 20%
Preț: 1120.92 lei - 20%
Preț: 1119.32 lei - 20%
Preț: 1008.09 lei - 20%
Preț: 562.99 lei - 20%
Preț: 1114.70 lei - 20%
Preț: 1010.18 lei - 20%
Preț: 1121.38 lei - 20%
Preț: 1006.97 lei - 20%
Preț: 1113.80 lei - 18%
Preț: 1356.02 lei - 20%
Preț: 957.11 lei - 20%
Preț: 1002.56 lei - 20%
Preț: 1008.09 lei - 20%
Preț: 323.19 lei - 20%
Preț: 1240.82 lei - 18%
Preț: 1173.68 lei - 18%
Preț: 609.96 lei - 20%
Preț: 624.19 lei - 20%
Preț: 1517.38 lei - 20%
Preț: 618.64 lei - 20%
Preț: 632.09 lei - 20%
Preț: 951.51 lei - 20%
Preț: 1388.21 lei - 20%
Preț: 1005.40 lei - 20%
Preț: 950.72 lei - 20%
Preț: 1002.26 lei - 20%
Preț: 1403.26 lei - 18%
Preț: 1185.81 lei - 20%
Preț: 1012.51 lei - 20%
Preț: 1004.63 lei - 20%
Preț: 1225.75 lei - 20%
Preț: 1109.26 lei - 20%
Preț: 1004.63 lei - 20%
Preț: 1124.27 lei - 20%
Preț: 1117.15 lei - 20%
Preț: 1118.77 lei - 18%
Preț: 966.67 lei - 20%
Preț: 1014.90 lei - 20%
Preț: 1234.45 lei
Preț: 1405.15 lei
Preț vechi: 1756.44 lei
-20% Nou
Puncte Express: 2108
Preț estimativ în valută:
248.65€ • 291.57$ • 218.36£
248.65€ • 291.57$ • 218.36£
Carte tipărită la comandă
Livrare economică 04-18 februarie 26
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783031020506
ISBN-10: 3031020502
Pagini: 644
Ilustrații: XVII, 623 p. 162 illus., 100 illus. in color.
Dimensiuni: 155 x 235 x 35 mm
Greutate: 0.96 kg
Ediția:1st ed. 2022
Editura: Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3031020502
Pagini: 644
Ilustrații: XVII, 623 p. 162 illus., 100 illus. in color.
Dimensiuni: 155 x 235 x 35 mm
Greutate: 0.96 kg
Ediția:1st ed. 2022
Editura: 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 12th Annual Meeting of the BICA Society (BICA 2021), which consisted of two parallel virtual events: Information in Biologically Inspired Cognitive Architectures based Systems, held during the 2021 Summit of the International Society for the Study of Information, on September 12-19, 2021, from Vienna, Austria, and the 2021 International Workshop on Biologically Inspired Cognitive Architectures, held during the 21st ACM International Conference on Intelligent Virtual Agents, on September 14-17, 2021, from the Fukuchiyama City, Kyoto, Japan. 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 to replicate human mind function Bridges between artificial intelligence, and cognitive, neuro- and social sciences Highlights applications of biological inspiration to cognitive robotics and machine learning