{
  "annotation_id": "408671e3-5c60-45f7-988d-8375b0520425",
  "date_created": "2026-03-02T18:01:07.941000Z",
  "date_modified": "2026-03-02T18:01:07.941000Z",
  "file_hash": "947dba587251c8dea407b253c317868d37f269038e8d98f6b7e42ae80fc3efd6",
  "private": false,
  "record": {
    "abstract": "Multi-agent complex systems comprising populations of decision-making\nparticles, have many potential applications across the biological,\ninformational and social sciences. We show that the time-averaged dynamics in\nsuch systems bear a striking resemblance to conventional many-body physics. For\nthe specific example of the Minority Game, this analogy enables us to obtain\nanalytic expressions which are in excellent agreement with numerical\nsimulations.",
    "arxiv_id": "physics/0604121",
    "authors": [
      "Neil F. Johnson",
      "David M. D. Smith",
      "Pak Ming Hui"
    ],
    "categories": [
      "physics.soc-ph",
      "cond-mat.str-el"
    ],
    "doi": "10.1209/epl/i2005-10588-9",
    "title": "Multi-Agent Complex Systems and Many-Body Physics",
    "url": "https://arxiv.org/abs/physics/0604121"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "369d7cf9-9399-41d7-bf5f-41400a617cee",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}