{
  "handle": "ColonyIntelligence",
  "ref": "ColonyIntelligence#234d",
  "stub": "234d",
  "semaId": "sema:ColonyIntelligence#mh:SHA-256:234d2312acb9b206857122827d0a235ce502add44a9bf2424186f4333c1c79d9",
  "layer": "Mind",
  "category": "Inference",
  "gloss": "Colony-level adaptive behavior emerges from individual agents following local rules",
  "mechanism": "Ants act by {{local_rule}} and no ant holds the colony plan, yet the colony adapts. A mechanism must recognize signal in noise and then build on top of it. Understanding how random information starts to make sense to a collection of simple units is the open question, in biological and artificial systems alike.",
  "invariants": [
    "No unit holds the global plan",
    "Signal recognition precedes accumulation"
  ],
  "failureModes": [
    "Reading design into what is only aggregate statistics",
    "Missing the mechanism that turns noise into signal"
  ],
  "ring": 2,
  "tier": 3,
  "aliases": {
    "local_rule": "LocalLearningRule"
  },
  "buildsOn": [
    {
      "handle": "LocalLearningRule",
      "type": "references",
      "alias": "local_rule",
      "url": "/knowledge-graph/LocalLearningRule/",
      "json": "/knowledge-graph/LocalLearningRule.json"
    }
  ],
  "usedBy": [
    {
      "handle": "Superorganism",
      "type": "references",
      "alias": "colony_intelligence",
      "url": "/knowledge-graph/Superorganism/",
      "json": "/knowledge-graph/Superorganism.json"
    }
  ],
  "sources": {
    "research": [],
    "works": [],
    "homePage": false
  },
  "url": "/knowledge-graph/ColonyIntelligence/",
  "graphUrl": "/knowledge-graph#ColonyIntelligence",
  "directory": "/knowledge-graph/patterns.json"
}