Buch, Englisch, 949 Seiten, Format (B × H): 155 mm x 235 mm
Proceedings of the 17th Annual Meeting of the BICA Society
Buch, Englisch, 949 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Electrical Engineering
ISBN: 978-3-032-44648-0
Verlag: Springer
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 2026 International Conference on Biologically-Inspired Cognitive Architectures (the 17th Annual Meeting of the BICA Society), held on September 9-12, 2026, in Merida, Yukatan, Mexico. They cover emerging methods and theories towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. They also extend these ideas to practical domains such as education, medicine, mental health, cybersecurity, finance and governance. 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.
Zielgruppe
Research
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Weitere Infos & Material
.- I Know How It Feels: A Computational Analysis of Triadic Empathy with Theory of Mind.
.- Episodic Memory for Online Reinforcement Learning in a Neocortex-inspired Agent.
.- Texture Feature Enhanced Sensory Module for Improved Object Recognition in a Neocortex-inspired Embodied Sensorimotor
Agent (Monty).
.- Semantic Understanding and Frequency Analysis of Political Speech Sarcasm Detection based on Machine Learning.
.- The Promise of Psychiatric BICAs: a Neuro-Bio-Psycho-Social Approach.
.- PsychoAgent: An Affect-Sensitive Cognitive Architecture for Conflict-Aware Memory in LLM Agents.
.- Bio-Anatomy Aware Representational Space Framework for Interpretable and Scalable Brain Tumor Classification.
.- Integrating context-aware speech act intension recognition into a virtual psychodiagnostic system.
