{
  "abstract": "FINDING: Consciousness may be fundamentally non-computable if integrated information (Φ) is measured via algorithmic information theory rather than Shannon entropy, linking formal proof limits to causal structure. | MATH: IIT defines Φ as effective information across a system's minimum information partition (MIP): Φ = min over partitions of (H(X) − Σ H(parts)); algorithmic variant replaces Shannon entropy H with Kolmogorov complexity K, yielding Φ_AIT = K(system) − Σ K(parts), which is uncomputable in general (due to K's non-computability). Wolpert's \"Monotheism theorem\" shows no physical theory can infer all causal structure without circularity — formalized via conditional independence and algorithmic randomness (K(x|y) vs K(x)). | CONNECTION: The MIP partition structure mirrors lattice-theoretic cuts in root systems (e.g., A_n, D_n) — the minimal partition corresponds to a Coxeter-Dynkin diagram's minimal cut, and Φ's value scales with the ratio of integrated to segregated informatio\n\nAuthor: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com",
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  "affiliations": [
    "Independent Researcher, United Kingdom"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Andrew Stewart Caldin"
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  "bibtex": "https://research.draconitic.com/paper/f1d1aqr27ktem.bib",
  "cited_by": 0,
  "doi": "10.5281/zenodo.23526376",
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  "id": "f1d1aqr27ktem",
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  "language": "eng",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
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  "published": "2026-10-21",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/f1d1aqr27ktem.ris",
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    {
      "first_seen": "2026-11-04T12:21:49Z",
      "native_id": "23526376",
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  "subjects": [],
  "title": "The Uncomputable Mind: Algorithmic Complexity and the Limits of Consciousness — E8 Intelligence Research",
  "title_text": "The Uncomputable Mind: Algorithmic Complexity and the Limits of Consciousness — E8 Intelligence Research",
  "type": "preprint",
  "updated_at": "2026-11-04T12:21:49Z",
  "url": "https://research.draconitic.com/paper/f1d1aqr27ktem",
  "venue": "Zenodo",
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