{
  "annotation_id": "c0635f4b-41cb-4969-ae4d-f4ff00d7c188",
  "date_created": "2026-03-02T18:01:21.580000Z",
  "date_modified": "2026-03-02T18:01:21.580000Z",
  "file_hash": "d16c32891103e6b979d46e7266c87d08b83eabddf5fb885717ecd9c7c3d1602e",
  "private": false,
  "record": {
    "abstract": "We consider a continuum version of a previously introduced and numerically\nstudied model of macroevolution (PRL 75, 2055, (1995)) in which agents evolve\nby an optimization process in a rugged fitness landscape and die due to their\ncompetitive interactions. We first formulate dynamical equations for the\nfitness distribution and the survival probability. Secondly we analytically\nderive the $t^{-2}$ law which characterizes the life time distribution of\nbiological genera. Thirdly we discuss other dynamical properties of the model\nsuch as the rate of extinction and conclude with a brief discussion.",
    "arxiv_id": "physics/9705026",
    "authors": [
      "Paolo Sibani"
    ],
    "categories": [
      "physics.bio-ph",
      "cond-mat.stat-mech",
      "q-bio"
    ],
    "doi": "10.1103/PhysRevLett.79.1413",
    "title": "A soluble model of evolution and extinction dynamics in a rugged fitness   landscape",
    "url": "https://arxiv.org/abs/physics/9705026"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "e6dd4ad9-8fa3-4876-8245-419ec6e74366",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}