Human Consciousness
Human consciousness research aims to understand the nature of subjective experience and its biological and computational underpinnings. Current research focuses on developing mathematical frameworks and computational models, including those based on predictive processing, integrated information theory, and various neural network architectures like transformer models, to explore the relationship between information processing, self-organization, and conscious experience. These efforts seek to establish objective criteria for consciousness, potentially applicable to both biological and artificial systems, and to illuminate the fundamental mechanisms underlying awareness and decision-making. The ultimate goal is to advance our understanding of the mind and its relationship to the physical world, with implications for fields ranging from neuroscience and artificial intelligence to philosophy and psychology.
Papers
Artificial consciousness. Some logical and conceptual preliminaries
K. Evers, M. Farisco, R. Chatila, B. D. Earp, I. T. Freire, F. Hamker, E. Nemeth, P. F. M. J. Verschure, M. Khamassi
ITCMA: A Generative Agent Based on a Computational Consciousness Structure
Hanzhong Zhang, Jibin Yin, Haoyang Wang, Ziwei Xiang