{
  "annotation_id": "8619496c-3123-4dad-9d90-83c09bc9156c",
  "date_created": "2026-03-02T18:01:11.028000Z",
  "date_modified": "2026-03-02T18:01:11.028000Z",
  "file_hash": "555048a2c0d2e1994f8d03d47ae5e7452e504950c61336ec99a38ecf578b8ce6",
  "private": false,
  "record": {
    "abstract": "We review the statistical mechanics approach to the study of the emerging\ncollective behavior of systems of heterogeneous interacting agents. The general\nframework is presented through examples is such contexts as ecosystem dynamics\nand traffic modeling. We then focus on the analysis of the optimal properties\nof large random resource-allocation problems and on Minority Games and related\nmodels of speculative trading in financial markets, discussing a number of\nextensions including multi-asset models, Majority Games and models with\nasymmetric information. Finally, we summarize the main conclusions and outline\nthe major open problems and limitations of the approach.",
    "arxiv_id": "physics/0606107",
    "authors": [
      "Andrea De Martino",
      "Matteo Marsili"
    ],
    "categories": [
      "physics.soc-ph",
      "cond-mat.dis-nn"
    ],
    "title": "Statistical mechanics of socio-economic systems with heterogeneous   agents",
    "url": "https://arxiv.org/abs/physics/0606107"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "59b697b7-cccd-4ccc-a7dc-8eb5a686d6ff",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}