{
  "annotation_id": "c365e198-f2eb-4621-9e50-09868036a4b4",
  "date_created": "2026-03-02T18:00:56.812000Z",
  "date_modified": "2026-03-02T18:00:56.812000Z",
  "file_hash": "ab8af9e721617d6bf0116bf7aa2b24b8ec22f930e6cdf939372f89d5a1564b15",
  "private": false,
  "record": {
    "abstract": "Phenomena which involves collective choice of many agents who are interacting\nwith each other and choosing one of several alternatives, based on the limited\ninformation available to them, frequently show switching between two distinct\nphases characterized by a bimodal and an unimodal distribution respectively.\nExamples include financial markets, movie popularity and electoral behavior.\nHere we present a model for this biphasic behavior and argue that it arises\nfrom interactions in a local neighborhood and adaptation \u0026 learning based on\ninformation about the effectiveness of past choices.",
    "arxiv_id": "physics/0505020",
    "authors": [
      "Sitabhra Sinha",
      "S. Raghavendra"
    ],
    "categories": [
      "physics.soc-ph",
      "cond-mat.stat-mech"
    ],
    "title": "Emergence of two-phase behavior in markets through interaction and   learning in agents with bounded rationality",
    "url": "https://arxiv.org/abs/physics/0505020"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "554c9c9c-25ef-4c46-977a-360b0f2ab52d",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}