Biologically Inspired Cognitive Architectures 2024
Springer International Publishing (Verlag)
978-3-031-76515-5 (ISBN)
- Noch nicht erschienen - erscheint am 15.01.2025
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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.
| Erscheint lt. Verlag | 15.1.2025 |
|---|---|
| Reihe/Serie | Studies in Computational Intelligence |
| Zusatzinfo | XV, 465 p. 140 illus., 70 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| 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 • 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 | 3-031-76515-X / 303176515X |
| ISBN-13 | 978-3-031-76515-5 / 9783031765155 |
| Zustand | Neuware |
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