The Internal Derivation Hypothesis: Mathematical Genesis in Sensory Isolation as the Sole Proof of Consciousness
Abstract
Current paradigms for testing AI consciousness, such as the Turing Test, are fundamentallyflawed because they rely on linguistic imitation and external validation. This paper proposesthe "Internal Derivation Hypothesis," a rigorous criterion based on total sensory deprivation.It argues that a truly conscious entity, even when isolated from all external data (visual,auditory, spatial), will inevitably derive mathematical systems from the axiom of its ownexistence. The definitive proof of such consciousness is not conversation, but theindependent discovery of universal constants—specifically 𝝅—derived not geometrically, butanalytically through infinite series.
Fields of Study & Subjects
Cognitive Science and Education Research
Philosophy and Theoretical Science
Computability
Logic
AI Algorithms
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 8 January 2026