{
  "annotation_id": "d6f11a69-936b-4e74-8295-f17cede10049",
  "date_created": "2026-03-02T18:00:39.764000Z",
  "date_modified": "2026-03-02T18:00:39.764000Z",
  "file_hash": "3224de9f54bc702d134dd5d9429d137ecf8954ca3aa9a4bc2b1d96c3fe0ce52d",
  "private": false,
  "record": {
    "abstract": "Artificial Life provides the opportunity to study the emergence and evolution\nof simple ecosystems in real time. We give an overview of the advantages and\nlimitations of such an approach, as well as its relation to individual-based\nmodeling techniques. The Digital Life system Avida is introduced and prospects\nfor experiments with ab initio evolution (evolution \"from scratch\"),\nmaintenance, as well as stability of ecosystems are discussed.",
    "arxiv_id": "physics/0209081",
    "authors": [
      "C. Adami"
    ],
    "categories": [
      "physics.bio-ph",
      "q-bio.PE"
    ],
    "journal_ref": "Natural Resource Modeling 15 (2002) 133-145",
    "title": "Ab Initio Modeling of Ecosystems with Artificial Life",
    "url": "https://arxiv.org/abs/physics/0209081"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "3f58a424-00de-40a2-b9b7-274aefba0d44",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}