Autological Recursion – A Functional Law of Consciousness proposes a general functional principle for self-modifying systems.It defines consciousness not as a state or substance, but as an operator:the differential relation between a system’s structure (S) and its own repetition (R), expressed as Ψ=∂S/∂R This autological law interprets consciousness as the structural sensitivity of a system to its own recurrence — a mechanism that links evolution, learning, and self-reflection within a unified formal framework. The law extends the Kognetik framework (DOI: 10.5281/zenodo.17428709), which describes cognition through the operators Resonance (R), Sequence (Q), and Structure (U).Where Kognetik defines the grammar of structural cognition, Autological Recursion specifies its governing relation: the functional derivative that makes structural change possible. Conceptually coherent but empirically untested, the model provides a theoretical bridge between biological adaptation, cognitive learning, and artificial self-modification, framing consciousness as measurable recursion rather than representational content. Note: In this work, Ψ denotes the formal operator of autological recursion — a dimensionless measure of a system’s structural sensitivity to its own recurrence. Its use is strictly functional and carries no parapsychological or symbolic connotation. Intellectual Property & ContactKOGNETIK® is a registered trademark of Serkan Elbasan (Germany).The KOGNETIK Research Series is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0). All scientific works within the series are open for citation and derivative research under proper attribution.For partnerships, translations, or applied development inquiries:✉️ research@kognetik.de · 🌐 https://www.kognetik.de https://orcid.org/0009-0000-8544-4847 Kognetik Series Information KOGNETIK — Minimal Operator Definition of Reflexivity (Ψ = ∂S/∂R) Reflexivity as structural rate-of-change:Ψ=∂S/∂R measures structural drift under recurrence. Process, not state:Reflexivity is a transformation rule, not a content or level. Domain-independent operator:Valid across biological, cognitive, artificial, social, industrial, and geophysical systems. Non-ascriptive, empirically testable:Ψ compares systems by observable structure and recurrence. Higher-order phenomena as specifications:Learning, adaptation, consciousness, governance, and identity are structured regimes of Ψ.