Computer ScienceFrontiers in Artificial Intelligence
Probing for consciousness in machines
M. Immertreu, A. Schilling, et al.
This study investigates whether artificial agents can develop Damasio-style core consciousness by forming self and world models as byproducts of reinforcement learning in a video-game environment. Using feedforward probe classifiers on network activations, the authors find rudimentary self/world models, suggesting a pathway toward machine consciousness. This research was conducted by Mathis Immertreu, Achim Schilling, Andreas Maier, and Patrick Krauss.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Biology
All-optical voltage interrogation for probing synaptic plasticity in vivo
J. Carolan, M. A. Land, et al.
Physics
Ultrafast transient infrared spectroscopy for probing trapping states in hybrid perovskite films
A. M. El-zohry, B. Turedi, et al.
Biology
All-optical voltage interrogation for probing synaptic plasticity in vivo
J. Carolan, M. A. Land, et al.
Medicine and Health
Development of prediction models for screening depression and anxiety using smartphone and wearable-based digital phenotyping: protocol for the Smartphone and Wearable Assessment for Real-Time Screening of Depression and Anxiety (SWARTS-DA) observational study in Korea
Y. Shin, A. Y. Kim, et al.
