{
  "annotation_id": "921c3a09-1ae5-4ef2-8aa1-f749007791c4",
  "date_created": "2026-03-02T18:01:28.424000Z",
  "date_modified": "2026-03-02T18:01:28.424000Z",
  "file_hash": "8a7b8b54820f335d1091f7c0b74e0e24ec65b49cff88a43b71bd01ecabf81688",
  "private": false,
  "record": {
    "abstract": "Hierarchical structure is an essential part of complexity, important notion\nrelevant for a wide range of applications ranging from biological population\ndynamics through robotics to social sciences. In this paper we propose a simple\ncellular-automata tool for study of hierarchical population dynamics.",
    "arxiv_id": "q-bio/0310004",
    "authors": [
      "Ivan Gotz",
      "Isaak Rubinstein",
      "Eugene Tsvetkov",
      "Boris Zaltzman"
    ],
    "categories": [
      "q-bio.PE"
    ],
    "doi": "10.1142/S0129183104005838",
    "title": "Complexity and hierarchical game of life",
    "url": "https://arxiv.org/abs/q-bio/0310004"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "6c6f7035-02cf-471c-acd6-33cd3a60ec4b",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}