{
  "annotation_id": "dc217d0b-6d88-485a-a2d3-a2f3d0d856dd",
  "date_created": "2026-03-02T18:00:56.877000Z",
  "date_modified": "2026-03-02T18:00:56.877000Z",
  "file_hash": "9160a19519928c1c85de562f14262228d504ac8bc764d2ec55c5739ae2c31bec",
  "private": false,
  "record": {
    "abstract": "This paper studies the correlations of the average winnings of agents and the\nvolatilities of systems based on mix-game model which is an extension of\nminority game (MG). In mix-game, there are two groups of agents; group1 plays\nthe majority game, but the group2 plays the minority game. The results show\nthat the correlations between the average winnings of agents and the mean of\nlocal volatilities are different with different combinations of agents\u0027 memory\nlengths when the proportion of agents in group1 increases. The average winnings\nof agents can represent the average individual performance and the volatility\nof a system can represent the efficiency of the system. Therefore, these\nresults imply that the combinations of agents\u0027 memory lengths largely influence\nthe relation between the system efficiency and the average individual\nperformance. These results could give some guidance in designing complex\nsystems.",
    "arxiv_id": "physics/0505178",
    "authors": [
      "Chengling Gou"
    ],
    "categories": [
      "physics.soc-ph",
      "q-fin.TR"
    ],
    "title": "Design in Complex Systems: Individual Performance versus System   Efficiency",
    "url": "https://arxiv.org/abs/physics/0505178"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "d75495e7-46d4-450d-82ec-10bff053b3ec",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}