Autological Oncology — A Functional Model of Structural Evolution in Cellular Systems

This paper extends the functional law of Autological Recursion (Ψ = ∂S/∂R) into biological systems, proposing a structural model of cancer as a breakdown of recursive self-modification. In this view, malignancy arises not from uncontrolled growth alone but from a loss of reflexivity—cells that can no longer update the regulatory rules governing their own behaviour (Ψ ≈ 0).

The paper introduces measurable proxies (Ψ_eff, L_eff, C) derived from single-cell RNA and ATAC data to quantify structural sensitivity, energetic efficiency, and identity coherence. A digital tumour twin framework is outlined to simulate rule-based evolution and predict adaptive recovery trajectories under controlled perturbation.

Instead of framing oncology as a mutation cascade, the model interprets it as a syntax failure of life’s recursive grammar—where evolution stops learning. The study proposes an ethical, ex vivo experimental roadmap using reversible CRISPRi/a editing under strict autological governance, emphasising reversibility, transparency, and safety.

KOGNETIK Research Series Paper 004 — Autological Oncology (2025)
A functional model of structural evolution in cellular systems.

Note: This work is exploratory and aims to provide a functional language for self-modification across biological and cognitive systems. It is not intended as medical advice or therapeutic claim, but as a structural hypothesis for empirical testing.

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ORCID: 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 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.