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BFG Qualia Closure Formulation: Why Red Feels Like Red — A Trinitarian Recursive-Closure Theory of Qualitative Experience within the Balance–Field Framework

Marcel Wende

Zenodo (CERN European Organization for Nuclear Research) June 14, 2026 DOI: 10.5281/zenodo.20692179 (opens in new tab)

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AI-extracted from the abstract
Characteristics Theoretical or philosophical paper Qualitative Peer reviewed
Keywords Qualia Closure psychology Ambiguity Consciousness Bounded function Philosophy of science Inference Credence Falsifiability Epistemology Mathematical economics Invariant physics Bounded rationality Belief revision Heuristic Premise Generalization Constraint computer-aided design Nothing
Key points Proposes that qualia are invariants of recursive closure geometry, described by the equation Q(E) = Inv_G(R_C, N, Φ, I, I_B, A), and that conscious contents should be identifiable through stable multiscale closure invariants rather than purely local activation patterns.

Abstract

This whitepaper presents the BFG Qualia Closure Formulation (BFG-QCF), a theoretical and explicitly falsifiable account of qualitative experience within the Balance–Field Framework (BFG). Using the paradigmatic question "Why does red feel like red?", the paper argues that qualia are neither reducible to external stimuli, local neural activations, nor semantic labels. Instead, qualitative experience is proposed to arise as the intrinsic invariant of a self-owned, admissibly closed recursive regime. The formulation introduces a trinitarian closure grammar, consisting of: a differentiating pole, a complementary contextual pole, and a neutral mediating operator preserving difference without collapse. Within this framework, qualia are formally described as invariants of recursive closure geometry: Q(E) = Inv_G(R_C, N, Φ, I, I_B, A) where Φ denotes coherence density, I structured information density, I_B information–order feedback, A attractor organization, N neutral mediation, and R_C bounded recursive closure. The paper addresses several classical problems in consciousness studies, including: Why there is something it is like to have an experience, Why red is experienced as red rather than blue, Why experience appears as my experience, The explanatory gap, The hard problem of consciousness, Neural correlates of consciousness, Integrated Information Theory (IIT), Global Neuronal Workspace (GNW), Free Energy and Active Inference approaches, Criticality-based accounts of consciousness. Importantly, this work proposes strong falsification criteria and empirical prediction routes, arguing that conscious contents should be identifiable through stable multiscale closure invariants rather than purely local activation patterns. The formulation therefore aims not merely to reinterpret existing debates, but to establish a potentially testable research program linking phenomenology, recursive dynamics, selfhood, and mathematical closure structures.