{
  "annotation_id": "400faecb-88cb-4cfa-baab-cb912e7cfe44",
  "date_created": "2026-03-02T18:01:32.281000Z",
  "date_modified": "2026-03-02T18:01:32.281000Z",
  "file_hash": "c39ca3cce73f768a0abd182efe394390a21dd7807601871475c385df4248e952",
  "private": false,
  "record": {
    "abstract": "Collective behavior of active elements inspired by mass of biological\norganisms is addressed. Especially, two topics are focused on among amazing\nbehaviors performed by colony of ants. First, task allocation phenomena are\ntreated from the viewpoint of proportion regulation of population between\ndifferent states. Using a dynamical model consisting of elements and external\n``stock materials\u0027\u0027, adaptability against various disturbances is numerically\nstudied. In addition, a dynamical model for a colony ants interacting via two\nkind of pheromones is studied, in which simulated ants, as a mass, are shown to\nmake an efficient foraging flexibly varying the foraging tactics according to\nfeeding schedules. Finally, experiments are performed with robots moving in\nvirtual pheromone fields simulated by CG and CCD camera feedback system. Trail\nformation processes are demonstrated by this multi-robot system.",
    "arxiv_id": "q-bio/0408019",
    "authors": [
      "T. Mizuguchi",
      "K. Sugawara",
      "H. Nishimori",
      "T. Tao",
      "T. Kazama",
      "H. Nakagawa",
      "Y. Hayakawa",
      "M. Sano"
    ],
    "categories": [
      "q-bio.PE"
    ],
    "title": "Collective Dynamics of Active Elements: Task Allocation and Pheromone   Trailing",
    "url": "https://arxiv.org/abs/q-bio/0408019"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "088ce7cc-157a-42d3-9f1a-e6cc6cb7ece7",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}