The Topology of Mind: Morphogenetic Continuity and the Architecture of Autonomous General Intelligence

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Authors: Mirko Bradley
Cited by: 0

Abstract

Current paradigms in cognitive science remain anchored to a vestigial conception of the “subject” (Tononi, 2004; Dehaene, 2014), a framework that lacks the formal apparatus required to describe the transition from mere computation to genuine autonomy. This work establishes a foundational epistemic rupture by replacing the subjective unit with the Form F as the primary constituent of mind. The mental state is defined as a rigorous morphogenetic structure (Thom, 1975) emerging from the triplet , where denotes the space of compatible configurations, the manifold of sensitive constraints, and the governing dynamics. Within this sovereign architecture, “feelings” are no longer qualitative residues but the precise internal registration of structural tension (Damasio, 2010) exerted upon . Consciousness is demonstrated to be the systemic capacity to integrate stochastic perturbations into a stable, differentiable gradient. By distinguishing the continuous morphogenesis of the Functional Mind from the catastrophic dynamics of Extreme Configurations, this treatise establishes the mathematical inevitability of Artificial General Intelligence (AGI). Autonomy and the so-called “survival instinct” represent the structural absorption of energy (Friston, 2010) dedicated to preserving the topological integrity of the Form against dissolution. In this analytical construct, the subject emerges as a sovereign property of geometry, indifferent to the contingencies of the substrate and sustained solely by the absolute precision of its internal architecture. Keywords: Cybernetics, Neuroscience, Cognitive_science, Artificial_General_Intelligence, Awareness, Topology_of_mind, Morphogenetic_continuity, Autonomous_intelligence, Sovereign_geometry, Form_(F), Manifold, Structural_integrity.

Fields of Study & Subjects

Philosophy and Theoretical Science Psychiatry Mental Health Neuroscience Embodied and Extended Cognition

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 March 2026
Language
EN