{
  "abstract": "Intelligence is conventionally treated as a human trait, or at most a neural one. This paper argues\n\nit is neither: intelligence is what sufficiently organized triadic matter does, wherever that matter\n\nappears. Plants and animals — down to the smallest microorganisms — run on shared biological\n\nequipment: cells, membranes, ion channels, microtubules, fractal branching architectures. What\n\ndiffers between kingdoms, and between individuals, is adaptation and configuration, not the\n\nunderlying machinery.\n\nThree universal behaviors appear across all living things: sensing the environment, provisioning\n\noffspring, and protecting others — a sense-provision-protect triad that mirrors the framework's\n\nminimum stable architecture. Memory, in this account, is not stored like files on a drive but as\n\ngeometric configurations in a shared substrate, with the brain serving as tuner and local cache\n\nrather than warehouse. Each pass over an experience leaves an imprint whose strength\n\ndetermines recall; filing and retrieval architectures must match or the memory is present but\n\nunreachable. Neurodivergence appears here not as deficit but as position on an architectural\n\nscale — structurally different filing, mismatched by environments built for one end of the scale.\n\nThe paper states falsifiable predictions and honest boundaries. What is observed is labeled\n\nobserved; what is modeled is labeled modeled; what is open is labeled open.\n\nKeywords: triality, intelligence, plant cognition, memory consolidation, neurodivergence,\n\ngeometric memory, quorum sensing, hyperphantasia",
  "abstract_shown": true,
  "affiliations": [
    "Triality Research"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Arthur Leroy Jones",
      "orcid": "0009-0007-2985-5132"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/7e5wmsp0t684p.bib",
  "cited_by": 0,
  "doi": "10.5281/zenodo.23440449",
  "fulltext_url": null,
  "id": "7e5wmsp0t684p",
  "issns": [],
  "landing_url": "https://zenodo.org/records/23440449",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [],
  "openalex": null,
  "pdf_url": "https://zenodo.org/api/records/23440449/files/intelligence-across-kingdoms-paper-DRAFT.pdf/content",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-17",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/7e5wmsp0t684p.ris",
  "sources": [
    {
      "first_seen": "2026-10-31T12:21:12Z",
      "native_id": "23440449",
      "source": "zenodo",
      "url": "https://zenodo.org/records/23440449"
    }
  ],
  "subjects": [],
  "title": "Intelligence Across Kingdoms: Shared Hardware, Triadic Architecture, and the Geometric Basis of Memory",
  "title_text": "Intelligence Across Kingdoms: Shared Hardware, Triadic Architecture, and the Geometric Basis of Memory",
  "type": "preprint",
  "updated_at": "2026-10-31T12:21:12Z",
  "url": "https://research.draconitic.com/paper/7e5wmsp0t684p",
  "venue": "Zenodo",
  "versions": []
}