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Titlebook: Biologically Inspired Cognitive Architectures 2023; Proceedings of the 1 Alexei V. Samsonovich,Tingting Liu Conference proceedings 2024 The

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期刊全稱Biologically Inspired Cognitive Architectures 2023
期刊簡稱Proceedings of the 1
影響因子2023Alexei V. Samsonovich,Tingting Liu
視頻videohttp://file.papertrans.cn/188/187517/187517.mp4
發(fā)行地址Reports on biologically inspired approaches and their applications.Bridges between artificial intelligence, and cognitive, neuro- and social sciences.Highlights innovative research addressing the BICA
學(xué)科分類Studies in Computational Intelligence
圖書封面Titlebook: Biologically Inspired Cognitive Architectures 2023; Proceedings of the 1 Alexei V. Samsonovich,Tingting Liu Conference proceedings 2024 The
影響因子.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..
Pindex Conference proceedings 2024
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Anthony K. H. Tung,Jean Hou,Jiawei Hanhild, it emits an alarm and makes a call to the caregiver or parent. This design presents a stable and pleasant structure for the child, an intuitive mechanism for the user and all the suitable components for proper operation. The results of the project will be used to create more complex monitoring
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Knowledge Discovery and Measures of Interestression suggested by the experts. The comparative analysis algorithm compares the new case to the reference variants of the known clinical forms of the integral model and then ranks the hypotheses put forward. The explanation block allows to present the data that served as a basis for the hypothesis
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