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Glavni avtor:	Elbasan, Serkan
Format:	Recurso digital
Jezik:	angleščina
Izdano:	Zenodo 2026
Teme:	KOGNETIK Autological Objectivity Objectivity Reflexive Systems Structural Sensitivity Ψ-Operator Meta-Learning Structural Drift Evolutionary Developmental Biology Reflexivity Kognem Kognetic Load Systems Theory Systems theory Philosophy of Science Philosophy Contemporary philosophy Modern philosophy Science Science/ethics Science/standards Science/trends Cognitive Science Behavioural science Human science Science/education Adaptive AI Second-Order Cybernetics Cybernetics Cybernetics/standards Cybernetics/classification Cybernetics/instrumentation Cybernetics/methods Cybernetics/economics Cybernetics/ethics Cybernetics/history Cybernetics/trends Cybernetics/organization & administration Rule Mutation Mutation Mutation/physiology Frameshift Mutation Transformation Invariance Consciousness
Online dostop:	https://doi.org/10.5281/zenodo.18612834
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Kazalo:

This paper introduces autological objectivity, a structural reformulation of objectivity for reflexive systems—biological, cognitive, artificial, and social. Classical objectivity assumes that observation does not alter the observed system. Reflexive systems violate this assumption: their generative rule structure changes as a function of recurrence and perturbation. KOGNETIK formalizes structural self-sensitivity through the operator Ψ = ∂S/∂R where S denotes generative structure and R denotes recurrence. We show that scientific progress itself unfolds through Kognems—minimal rule mutations triggered by kognetic overload (L = 1/Ψ). Using evidence from evolutionary developmental biology and meta-learning architectures, the paper demonstrates that objectivity becomes transformation-invariance rather than state-invariance. Autological objectivity provides an epistemic foundation for systems that learn to rewrite their own rules and offers a measurable operator for next-generation reflexive AI. <h2>Intellectual Property & Licensing</h2> The KOGNETIK Research Series is released under the Creative Commons Attribution–NonCommercial 4.0 International License (CC BY-NC 4.0). All scientific works within the series may be cited, shared, and adapted for non-commercial research purposes with proper attribution. Commercial use—including consulting, advisory services, integration into commercial platforms, monetized training, certification, or system-level deployment—is not permitted under this license and requires a separate written agreement. Full license text: <a href="https://creativecommons.org/licenses/by-nc/4.0/" target="_new" rel="noopener">https://creativecommons.org/licenses/by-nc/4.0/</a> For licensing, partnerships, translations, or applied development inquiries: <a rel="noopener">research@kognetik.de</a> <a href="https://www.kognetik.de/" target="_new" rel="noopener">https://www.kognetik.de</a> ORCID: <a href="https://orcid.org/0009-0000-8544-4847" target="_new" rel="noopener">https://orcid.org/0009-0000-8544-4847</a> <h2>Kognetik Series Information</h2> 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 specifies a transformation rule rather than a content or level. Domain-independent operator: Applicable across biological, cognitive, artificial, social, industrial, and geophysical systems. Non-ascriptive and empirically testable: Ψ enables comparative analysis of systems via observable structure and recurrence. Higher-order phenomena as specifications: Learning, adaptation, consciousness, governance, and identity are structured regimes of Ψ.

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