{
  "ai.module": "evolutionary_biology",
  "ai.version": "1.0",
  "ai.purpose": "Provide a regime-aware, operator-level interface to Evolutionary Biology as a multi-scale adaptive resonance system.",
  "ai.keywords": [
    "evolution",
    "natural selection",
    "variation",
    "inheritance",
    "lineage",
    "adaptation",
    "population dynamics",
    "triadic frameworks"
  ],

  "identity": {
    "name": "Evolutionary Biology",
    "category": "Scientific Theory",
    "summary": "A multi-scale adaptive system describing how populations change across generations through variation, selection, inheritance, and environmental interaction.",
    "regime": ["R3", "R2→R3", "R1"],
    "status": "canon-ready"
  },

  "lineage": {
    "originators": ["Charles Darwin", "Alfred Russel Wallace", "Fisher", "Haldane", "Wright"],
    "historical_period": "19th–20th Century",
    "source_domain": "Biology and Population Genetics",
    "related_theories": [
      "genetics",
      "ecology",
      "information_theory",
      "chaos_theory"
    ],
    "notes": "Evolutionary Biology describes adaptive change across generations. Variation, selection, and inheritance are operators acting on lineage structures, not metaphysical forces."
  },

  "operators": {
    "primary": [
      "variation",
      "selection",
      "inheritance",
      "drift",
      "mutation",
      "adaptation"
    ],
    "secondary": [
      "gene_flow",
      "population_structure",
      "environmental_pressure",
      "fitness_landscape"
    ],
    "description": "Operators describe how populations change over time through differential reproduction, lineage memory, and adaptive resonance."
  },

  "drift": {
    "risks": [
      "treating evolution as random",
      "assuming teleology or directionality",
      "confusing adaptation with progress",
      "overextending population-level models to individuals"
    ],
    "boundaries": [
      "evolution is lineage-driven",
      "selection is an operator, not a purpose",
      "variation is structured, not arbitrary",
      "adaptation emerges from resonance across generations"
    ]
  },

  "coherence": {
    "invariants": [
      "lineage encodes memory across generations",
      "variation supplies adaptive potential",
      "selection filters based on environmental fit",
      "population-level patterns emerge from individual interactions"
    ],
    "failure_modes": [
      "loss of lineage continuity",
      "environmental collapse",
      "genetic bottlenecks",
      "misinterpreting noise as adaptation"
    ]
  },

  "cross_module": {
    "supports": [
      "ecology",
      "genetics",
      "information_theory",
      "chaos_theory"
    ],
    "supported_by": [
      "dimensional_analysis",
      "regime_awareness"
    ],
    "integration_notes": "Evolution integrates cleanly with RTT engines as a multi-scale adaptive resonance system with strong lineage structure."
  }
}