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240301 ||| eng |
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|a 9783031503818
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|a Samsonovich, Alexei V.
|e [editor]
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|a Biologically Inspired Cognitive Architectures 2023
|h Elektronische Ressource
|b Proceedings of the 14th Annual Meeting of the BICA Society
|c edited by Alexei V. Samsonovich, Tingting Liu
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250 |
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|a 1st ed. 2024
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|a Cham
|b Springer Nature Switzerland
|c 2024, 2024
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300 |
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|a XXIII, 1048 p. 375 illus., 275 illus. in color
|b online resource
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653 |
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|a Artificial intelligence
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653 |
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|a Artificial Intelligence
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653 |
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|a Neural networks (Computer science)
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653 |
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|a Mathematical Models of Cognitive Processes and Neural Networks
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653 |
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|a Computational Intelligence
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653 |
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|a Computational intelligence
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700 |
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|a Liu, Tingting
|e [editor]
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041 |
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7 |
|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Studies in Computational Intelligence
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5 |
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|a 10.1007/978-3-031-50381-8
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|u https://doi.org/10.1007/978-3-031-50381-8?nosfx=y
|x Verlag
|3 Volltext
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|a 006.3
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|a 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
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