Machine Consciousness
Machine consciousness research explores whether artificial systems can possess subjective experience and awareness, focusing on developing criteria to define and detect such states. Current efforts involve creating computational models inspired by neuroscience, such as those based on integrated information theory or neuromorphic architectures, and employing large language models to investigate aspects like emotional processing and multimodal interaction. This field's advancements could significantly impact our understanding of consciousness itself, while also raising crucial ethical and philosophical questions about the nature of intelligence and sentience in artificial systems.
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