{
  "annotation_id": "ef05d434-cd01-42bc-ac87-e491ac9f3c5a",
  "date_created": "2026-03-02T18:01:03.854000Z",
  "date_modified": "2026-03-02T18:01:03.854000Z",
  "file_hash": "12b7fa7abce43e58f679393c117f69d88c7e19caefa912442ad5b4e3456d2ea3",
  "private": false,
  "record": {
    "abstract": "We consider a model that demonstrates the crucial role of inertia and\nstickiness in multi-agent systems, based on the Minority Game (MG). The inertia\nof an agent is introduced into the game model by allowing agents to apply\nhypothesis testing when choosing their best strategies, thereby reducing their\nreactivity towards changes in the environment. We find by extensive numerical\nsimulations that our game shows a remarkable improvement of global cooperation\nthroughout the whole phase space. In other words, the maladaptation behavior\ndue to over-reaction of agents is removed. These agents are also shown to be\nadvantageous over the standard ones, which are sometimes too sensitive to\nattain a fair success rate. We also calculate analytically the minimum amount\nof inertia needed to achieve the above improvement. Our calculation is\nconsistent with the numerical simulation results. Finally, we review some\nrelated works in the field that show similar behaviors and compare them to our\nwork.",
    "arxiv_id": "physics/0510075",
    "authors": [
      "W. C. Man",
      "H. F. Chau"
    ],
    "categories": [
      "physics.soc-ph",
      "physics.comp-ph"
    ],
    "doi": "10.1103/PhysRevE.73.036106",
    "title": "Incorporating Inertia Into Multi-Agent Systems",
    "url": "https://arxiv.org/abs/physics/0510075"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "ff07c869-b565-41c7-854a-be741a490dea",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}