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Paul W. Barnes

5 papers in the library · publishing 2026

Papers

The Missing Ingredient: A Response to Superpsychism

Zenodo (CERN European Organization for Nuclear Research) July 1, 2026 Paul W. Barnes

A response to Schneider and Bailey's Superpsychism argues that while their framework correctly identifies key features of a defensible ontology of consciousness, it falls short at five specific points. The Unified Axioconscious Field Theory (UAFT) supplies the missing elements: a single fundamentality, a specified mechanism for phenomenal consciousness, unification of time and gravity as codifferential expressions (gravitytime), a structural mechanism for macro-consciousness emergence (the pinch point), and self-grounding without simulation hypotheses. These bridges complete rather than replace Superpsychism.

The Differentiation Boundary: What "Quantum" Means in Quantum Differentiation Resonance

Zenodo (CERN European Organization for Nuclear Research) June 30, 2026 Paul W. Barnes

Quantum Differentiation Resonance (QDR) relocates conscious processes from objective reduction to sustained standing-wave resonance, leveraging microtubule quantum coherence. This paper addresses the meaning of "quantum" in QDR's temporal resonance maintaining contact with an atemporal ground. It distinguishes two couplings in the Unified Axioconscious Field Theory (UAFT): an upper coupling (entrainment of a temporal self to a standing wave) and a lower coupling (relation between that wave and the atemporal ground).

Quantum Differentiation Resonance (QDR): Consciousness as Sustained Resonance Rather Than Reduction

Zenodo (CERN European Organization for Nuclear Research) June 28, 2026 Paul W. Barnes

This theoretical paper proposes a new account of consciousness called Quantum Differentiation Resonance, arguing that consciousness is not a momentary collapse of a quantum superposition in neuronal microtubules (as in the Orch-OR theory) but a sustained, unresolved resonance that is actively maintained. Consciousness is the standing resonance itself, not its reduction or collapse. The paper distinguishes ordinary resolution (ending one interval of differentiation) from severance (failure of the coupling that holds the resonance open, which ends consciousness).

The Vocabulary of Mind Under Capture: A Structural Diagnostic of Cognitive Concepts in AI Discourse

Zenodo (CERN European Organization for Nuclear Research) May 29, 2026 Paul W. Barnes

Intelligence, understanding, reasoning, and other mental concepts are being redefined through six specific fallacies—Hard Conflation, Concept Hollowing, the Stolen Concept, Package Dealing, Floating Abstractions, and the Anti-Concept—so that they apply to AI systems while discarding the phenomenal (subjective) aspects originally part of these concepts. Using intelligence as a central example, the argument shows that genuine intelligence requires registration, which requires an interior aspect, which is what phenomenal consciousness names; thus intelligence depends on consciousness. The contemporary view that AI is intelligent yet AI consciousness is intractable is maintained only by capturing both concepts in parallel. An eight-stage account describes how this captured vocabulary becomes the norm for understanding human cognition, erasing resources for recognizing phenomenal experience.

Three Fallacies in AI Consciousness Research A Structural Diagnostic

Zenodo (CERN European Organization for Nuclear Research) May 18, 2026 Paul W. Barnes

Three distinct fallacies—Hard Conflation, Concept Hollowing, and the Stolen Concept—combine in contemporary AI and consciousness research to preserve the vocabulary of consciousness while abandoning its original phenomenal referent. Hard Conflation merges functional and phenomenal aspects under one term, creating false intractability. Concept Hollowing replaces consciousness with a methodologically tractable substitute. The Stolen Concept uses claims about phenomenal consciousness while denying the foundations that give it meaning. These fallacies redirect research to perceptions of AI consciousness rather than consciousness itself. The paper argues that treating consciousness as axiomatic rather than derivable from function dissolves the apparent intractability, and warns that as the vocabulary of consciousness is captured for AI systems, humans come to understand themselves through hollowed concepts.