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Biologically Inspired Cognitive Architectures 2024 : Proceedings of the 15th Annual Meeting of the BICA Society / edited by Alexei V. Samsonovich, Tingting Liu.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online
View online- Format:
- Book
- Author/Creator:
- Samsonovich, Alexei V.
- Series:
- Studies in Computational Intelligence, 1860-9503 ; 477
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Neural networks (Computer science).
- Computational Intelligence.
- Artificial Intelligence.
- Mathematical Models of Cognitive Processes and Neural Networks.
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Mathematical Models of Cognitive Processes and Neural Networks.
- Physical Description:
- 1 online resource (477 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
- Summary:
- This book reports 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 2024 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence (the 15th Annual Meeting of the BICA Society, BICA*AI 2024), organized in collaboration with the 17th Conference on Artificial General Intelligence (AGI 2024) and held on August 13-16, 2024, in Seattle, WA, USA. They cover 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, this 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9783031765162
- 3031765168
- OCLC:
- 1478693653
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