{
  "annotation_id": "24abbddd-e9e5-4234-a99c-cfdea0d30a4a",
  "date_created": "2026-03-02T18:01:45.855000Z",
  "date_modified": "2026-03-02T18:01:45.855000Z",
  "file_hash": "68398ddc51168f893687c57cd159972bbfcbbb7c3d6b1d2fd536c625071c3b05",
  "private": false,
  "record": {
    "abstract": "We develop a kind of quantum formalism (Hilbert space probabilistic calculus)\nfor measurements performed over cognitive (in particular, conscious) systems.\nBy using this formalism we could predict averages of cognitive observables.\nReflecting the basic idea of neurophisiological and psychological studies on a\nhierarchic structure of cognitive processes, we use p-adic hierarchic trees as\na mathematical model of a mental space. We also briefly discuss the general\nproblem of the choice of adequate mental geometry.",
    "arxiv_id": "quant-ph/0111006",
    "authors": [
      "Andrei Khrennikov"
    ],
    "categories": [
      "quant-ph"
    ],
    "title": "Quantum-like formalism for cognitive measurements",
    "url": "https://arxiv.org/abs/quant-ph/0111006"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "1fce131a-2623-483b-8c6e-922fe40c8264",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}