{
  "annotation_id": "e6d2b2cb-d166-488e-a48b-96747850b759",
  "date_created": "2026-03-02T18:01:31.810000Z",
  "date_modified": "2026-03-02T18:01:31.810000Z",
  "file_hash": "4f6369befa0125ce9093458c402714a67cc55089632b2716cac00a3c96ee5c52",
  "private": false,
  "record": {
    "abstract": "This article adopts game theory to build a model for explaining the predation\nbehavior of animals.We assume that both the prey and the preydator have two\nstratigies in this game,the active one and the passive one.By calculating the\noutcome and the income of energy in different stratigies, we find the solution\nto analyze the different evolution path of both the prey and the predator.A\nsimulation result approximately represents the correctness of our model.",
    "arxiv_id": "q-bio/0505026",
    "authors": [
      "Shi Chen",
      "Sheng Bao",
      "Ling Yan",
      "Cheng Huang"
    ],
    "categories": [
      "q-bio.PE"
    ],
    "title": "A Predation Behavior Model Based on Game Theory",
    "url": "https://arxiv.org/abs/q-bio/0505026"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "77941f5a-f49e-4577-8e6a-784b9b69557f",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}