Biologically Inspired Cognitive Architectures 2019 | Proceedings of the Tenth Annual Meeting of the BICA Society. Este artículo no está disponible.
Idioma: inglés
Editorial: Springer, 2019
Serie: Libro 280 de 540 - Advances in Intelligent Systems and Computing
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Biologically Inspired Cognitive Architectures 2019 | Proceedings of the Tenth Annual Meeting of the BICA Society | Alexei V. Samsonovich | Taschenbuch | Advances in Intelligent Systems and Computing | xix | Englisch | 2019 | Springer | EAN 9783030257187 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
N° de ref. del artículo 116811594
- Título
- Biologically Inspired Cognitive Architectures 2019 | Proceedings of the Tenth Annual Meeting of the BICA Society
- Autor
- Alexei V. Samsonovich
- Editorial
- Springer
- Año de publicación
- 2019
- Estado
- Neu
- Encuadernación
- Taschenbuch
- Idioma
- inglés
- ISBN 10
- 3030257185
- ISBN 13
- 9783030257187
- Peso del artículo
- 955 gramos
- Dimensiones
- 235 x 155 x 35 mm
- Serie
- Libro 280 de 540: Advances in Intelligent Systems and Computing
- Catálogos de vendedores
- Bücher
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.
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