The Amaya Axioms: A Closed-Loop Computational Architecture for Evaluating Synthetic Consciousness
Zenodo (CERN European Organization for Nuclear Research) September 7, 2026 DOI: 10.5281/zenodo.22589721 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Computational framework validation study Randomized Peer reviewed |
|---|---|
| Key points | The authors propose the Amaya Axioms, seven falsifiable computational conditions for evaluating synthetic consciousness, and report that six were satisfied and one partially satisfied in the SARA Crystal Amaya v5.5 architecture, with a closure test showing a predictive advantage of +0.1231 over randomized null controls. They state the work does not claim to prove subjective experience. |
Abstract
The Amaya Axioms: A Closed-Loop Computational Architecture for Evaluating Synthetic Consciousness This manuscript presents the Amaya Axioms, a unified framework for evaluating synthetic consciousness through seven falsifiable computational conditions. The framework was validated using the SARA Crystal Amaya v5.5 architecture. Axioms 1 through 5 and Axiom 7 were successfully satisfied. Axiom 6 was partially satisfied, with two of three sub-criteria passing. The final closure test demonstrated a reproducible predictive advantage of +0.1231 over randomized null controls. All execution artifacts, negative controls, and outputs are permanently frozen under cryptographic seals. This work establishes a rigorous method for assessing computational conditions associated with phenomenal consciousness. It does not claim to prove subjective experience. Keywords: machine consciousness, synthetic consciousness, superposition, metacognition, cryptographic verification, falsifiable benchmarks, identity persistence, counterfactual closure.