{
  "annotation_id": "9b213989-bc18-4dd0-9757-1fbcffc3d5cc",
  "date_created": "2026-03-02T18:00:32.665000Z",
  "date_modified": "2026-03-02T18:00:32.665000Z",
  "file_hash": "505c74d4e7a5a169e725d74b0c2518585c6badd0b380f5d165773373210d8c8c",
  "private": false,
  "record": {
    "abstract": "In order to make a case for or against a trend in the evolution of complexity\nin biological evolution, complexity needs to be both rigorously defined and\nmeasurable. A recent information-theoretic (but intuitively evident) definition\nidentifies genomic complexity with the amount of information a sequence stores\nabout its environment. We investigate the evolution of genomic complexity in\npopulations of digital organisms and monitor in detail the evolutionary\ntransitions that increase complexity. We show that because natural selection\nforces genomes to behave as a natural ``Maxwell Demon\u0027\u0027, within a fixed\nenvironment genomic complexity is forced to increase.",
    "arxiv_id": "physics/0005074",
    "authors": [
      "Christoph Adami",
      "Charles Ofria",
      "Travis C. Collier"
    ],
    "categories": [
      "physics.bio-ph",
      "cond-mat.stat-mech",
      "cs.CC",
      "nlin.AO",
      "physics.data-an",
      "q-bio.PE"
    ],
    "doi": "10.1073/pnas.97.9.4463",
    "journal_ref": "Proc. Nat. Acad. Sci (USA) 97 (2000) 4463",
    "title": "Evolution of Biological Complexity",
    "url": "https://arxiv.org/abs/physics/0005074"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "0f750a90-5470-42d7-99d7-7244a797fd78",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}