{
  "annotation_id": "8c24682a-6ea1-4a99-9760-780634f9f205",
  "date_created": "2026-03-02T18:01:00.907000Z",
  "date_modified": "2026-03-02T18:01:00.907000Z",
  "file_hash": "0c050d7181d3365af01753b19014a3e221b9926dc6ef622b941ecd5fd2fdb82a",
  "private": false,
  "record": {
    "abstract": "We construct a model of social behaviour through the dynamics of interacting\nagents. The agents undergo game-theoretic interactions where each agent can\ndecide to lend support to particular other agents or otherwise, and agents are\nrewarded according to total support received. We analyse and carry out Monte\nCarlo simulations of such systems to uncover their evolutionary dynamics, and\nto explore their phase structure.",
    "arxiv_id": "physics/0508205",
    "authors": [
      "Wan Ahmad Tajuddin Wan Abdullah",
      "A. K. M. Azhar"
    ],
    "categories": [
      "physics.soc-ph",
      "cond-mat.dis-nn"
    ],
    "title": "Mutual Support in Agent Networks",
    "url": "https://arxiv.org/abs/physics/0508205"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "2bacef58-c207-4508-af0a-af9d8ab86153",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}