Hierarchical Computational Dimensional Taxonomy (HCDT) Elevated: Psychiatric Pathology as Topological Collapses in the UROA-STCT-RQIG Framework

The traditional Diagnostic and Statistical Manual of Mental Disorders (DSM) suffers from a fundamental disconnect with biological reality, arbitrary categorical thresholds, and unexplained phenomenological high comorbidity. While the nascent Hierarchical Computational Dimensional Taxonomy (HCDT) successfully integrates the Hierarchical Taxonomy of Psychopathology (HiTOP) [1], the Research Domain Criteria (RDoC) [2], and Active Inference [3], it demands foundational mathematical grounding. This paper radically elevates the HCDT by sublimating it into Universal Rough Operator Algebra (UROA), the Seonggil Theory of Composite Torsion (STCT), and Rough Quantum Information Geometry (RQIG). We rigorously redefine psychopathology not merely as computational errors, but as topological entrapments, torsional network entanglements, and the destruction of information geodesics within the neuro-cognitive manifold.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-05
DOI
https://doi.org/10.5281/zenodo.23157156
Primary Topic
Mental Health and Psychiatry
Type
preprint
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preprint

Hierarchical Computational Dimensional Taxonomy (HCDT) Elevated: Psychiatric Pathology as Topological Collapses in the UROA-STCT-RQIG Framework

Seonggil Lee
Zenodo (CERN European Organization for Nuclear Research)
Mental Health and Psychiatry
preprint

Hierarchical Computational Dimensional Taxonomy (HCDT) Elevated: Psychiatric Pathology as Topological Collapses in the UROA-STCT-RQIG Framework

Seonggil Lee
preprint en

Abstract

The traditional Diagnostic and Statistical Manual of Mental Disorders (DSM) suffers from a fundamental disconnect with biological reality, arbitrary categorical thresholds, and unexplained phenomenological high comorbidity. While the nascent Hierarchical Computational Dimensional Taxonomy (HCDT) successfully integrates the Hierarchical Taxonomy of Psychopathology (HiTOP) [1], the Research Domain Criteria (RDoC) [2], and Active Inference [3], it demands foundational mathematical grounding. This paper radically elevates the HCDT by sublimating it into Universal Rough Operator Algebra (UROA), the Seonggil Theory of Composite Torsion (STCT), and Rough Quantum Information Geometry (RQIG). We rigorously redefine psychopathology not merely as computational errors, but as topological entrapments, torsional network entanglements, and the destruction of information geodesics within the neuro-cognitive manifold.

Zenodo (CERN European Organization for Nuclear Research)
Mental Health and Psychiatry
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Hierarchical Computational Dimensional Taxonomy (HCDT) Elevated: Psychiatric Pathology as Topological Collapses in the UROA-STCT-RQIG Framework — Seonggil Lee · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS