Biologically Inspired Cognitive Architectures 2023
Springer International Publishing
978-3-031-50380-1 (ISBN)
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.
Erscheint lt. Verlag | 14.2.2024 |
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Reihe/Serie | Studies in Computational Intelligence |
Zusatzinfo | XXIII, 1048 p. 375 illus., 275 illus. in color. In 2 volumes, not available separately. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 1964 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
Technik | |
Schlagworte | AI architecture • Applications of Neural Networks • Artificial Cognitive Agents • Artificial consciousness • artificial social intelligence • Autonomous Agents • BICA*AI 2023 • Biological Information System • Biologically-Inspired Methods • Cognitive Modeling • Cognitive Systems Applications • emotion detection • Expert Systems • Human Language Models • Intelligent Control Algorithms • Large Language Models • Learning Algorithms • Multiagent Architecture • Network Security Intelligence • sentiment analysis |
ISBN-10 | 3-031-50380-5 / 3031503805 |
ISBN-13 | 978-3-031-50380-1 / 9783031503801 |
Zustand | Neuware |
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