{
  "annotation_id": "58ad8d73-93e0-4573-9125-b8f260ccd2a7",
  "date_created": "2026-03-02T18:01:35.799000Z",
  "date_modified": "2026-03-02T18:01:35.799000Z",
  "file_hash": "36c30f70d3dde0b163ac1f3851cb54d883068618a765c61f9ec922f832a0e9ab",
  "private": false,
  "record": {
    "abstract": "This paper develops a set of simplified dynamical models with which to\nexplore the conditions under which division of labor leads to optimized system\noutput, as measured by the rate of production of a given product. We consider\ntwo models: In the first model, we consider the flow of some resource into a\ncompartment, and the conversion of this resource into some product. In the\nsecond model, we consider the resource-limited growth of autoreplicating\nsystems. In this case, we divide the replication and metabolic tasks among\ndifferent agents. The general features that emerge from our models is that\ndivision of labor is favored when the resource to agent ratio is at\nintermediate values, and when the time cost associated with transporting\nintermediate products is small compared to characteristic process times. We\ndiscuss the results of this paper in the context of simulations with digital\nlife. We also argue that division of labor in the context of our replication\nmodel suggests an evolutionary basis for the emergence of the stem-cell-based\ntissue architecture in complex organisms.",
    "arxiv_id": "q-bio/0605047",
    "authors": [
      "Emmanuel Tannenbaum"
    ],
    "categories": [
      "q-bio.CB",
      "q-bio.PE"
    ],
    "title": "When does division of labor lead to increased system output?",
    "url": "https://arxiv.org/abs/q-bio/0605047"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "73a39480-01df-4a7f-b8ba-733ae1240827",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}