AI Observer Approach to the Entropic Brain
Journal of Artificial Intelligence and Consciousness March 1, 2026 DOI: 10.1142/s2705078526400059 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key points | Proposes a physics-inspired metric, an "awareness" index derived from an analogy between the brain and a blackbody near a Schwarzschild event horizon, to characterize the Entropic Brain Hypothesis. Argues that this index could serve as a biomarker of brain dynamics and allow external observers to depict mental-like modulations, while distinguishing awareness from consciousness itself. |
Abstract
An alternative physics-based metric to gain insights into the Entropic Brain Hypothesis is introduced, where the diversity of neural signals in the brain activity is associated to different states of human consciousness reflected by entropy measurements. The approach is inspired by the properties around a Schwarzschild event horizon in vacuum. In this context, we idealize the brain to be an analogous blackbody in a curved spacetime and identify the boundaries of the Entropic Brain Hypothesis via an “awareness” index [Formula: see text], which could represent a (bio-)marker for the dynamics of the brain. Through this physics picture, an external observer (human or AI agent) may depict the mental-like modulations derived from subjective, personal conscious experiences. In the work, awareness is not equated with consciousness as such. It is defined as the externally accessible projection of internal conscious dynamics.