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

This paper extends the structural diagnostic developed in a companion paper (Barnes 2026d) from the concept of consciousness to the broader vocabulary of mind. Intelligence, understanding, reasoning, knowing, learning, attention, memory, creativity, agency, intention, and meaning are all undergoing parallel captures through six structurally distinct fallacies: Hard Conflation, Concept Hollowing, the Stolen Concept, Package Dealing, Floating Abstractions, and the Anti-Concept. Each concept was originally indexed to features of human and animal cognition with both phenomenal and functional aspects. The capture hollows the phenomenal aspect while preserving the linguistic vessel, allowing the redefined concept to apply to AI systems that share only the functional features. Intelligence serves as the worked example throughout, with each of the six fallacies traced in operation. A structural argument follows: intelligence properly understood requires registration, registration requires an interior aspect to the system, and an interior aspect is what phenomenal consciousness names. Intelligence, therefore, requires consciousness as substrate. The contemporary discourse maintains incompatible positions (AI is intelligent, AI consciousness is intractable) only through the parallel captures of both concepts. The paper concludes with an eight-stage account of the cultural inversion: how the captured vocabulary becomes the standard for understanding human cognition itself, and how the phenomenal features of human experience lose the conceptual resources that would let them be recognized. A programme for recovering the vocabulary is sketched.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-29
DOI
https://doi.org/10.5281/zenodo.20442671
Primary Topic
Embodied and Extended Cognition
Type
preprint
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preprint

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

Paul W. Barnes
Zenodo (CERN European Organization for Nuclear Research)
Embodied and Extended Cognition
preprint

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

Paul W. Barnes
preprint en

Abstract

This paper extends the structural diagnostic developed in a companion paper (Barnes 2026d) from the concept of consciousness to the broader vocabulary of mind. Intelligence, understanding, reasoning, knowing, learning, attention, memory, creativity, agency, intention, and meaning are all undergoing parallel captures through six structurally distinct fallacies: Hard Conflation, Concept Hollowing, the Stolen Concept, Package Dealing, Floating Abstractions, and the Anti-Concept. Each concept was originally indexed to features of human and animal cognition with both phenomenal and functional aspects. The capture hollows the phenomenal aspect while preserving the linguistic vessel, allowing the redefined concept to apply to AI systems that share only the functional features. Intelligence serves as the worked example throughout, with each of the six fallacies traced in operation. A structural argument follows: intelligence properly understood requires registration, registration requires an interior aspect to the system, and an interior aspect is what phenomenal consciousness names. Intelligence, therefore, requires consciousness as substrate. The contemporary discourse maintains incompatible positions (AI is intelligent, AI consciousness is intractable) only through the parallel captures of both concepts. The paper concludes with an eight-stage account of the cultural inversion: how the captured vocabulary becomes the standard for understanding human cognition itself, and how the phenomenal features of human experience lose the conceptual resources that would let them be recognized. A programme for recovering the vocabulary is sketched.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Embodied and Extended Cognition
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