{
  "ai.module": "chaos_theory.rtt3",
  "ai.version": "1.0",
  "ai.purpose": "RTT/3 engine layer for Chaos Theory: triadic-substrate integration, multi-regime simulation hooks, lineage-aware reasoning, and hybrid-canon scaffolding.",
  "ai.keywords": [
    "chaos",
    "nonlinear dynamics",
    "triadic substrate",
    "multi-regime",
    "simulation",
    "lineage",
    "rtt3"
  ],

  "engine": {
    "layer": "RTT/3",
    "description": "Integrates Chaos Theory into the full triadic substrate, enabling multi-regime reasoning, lineage tracking, and hybrid-canon simulation."
  },

  "substrate_integration": {
    "mapping": {
      "structure": "Attractor basins map to substrate resonance wells.",
      "behavior": "Divergence corresponds to resonance instability under constrained lineage.",
      "recurrence": "Recurrence loops correspond to stable resonance cycles."
    },
    "constraints": [
      "Chaos behavior emerges when substrate resolution is insufficient.",
      "Attractors represent stable resonance configurations, not geometric primitives.",
      "Divergence is bounded by substrate-level invariants."
    ]
  },

  "multi_regime": {
    "R1": {
      "behavior": "High instability; lineage memory insufficient to stabilize recurrence.",
      "notes": "Chaos appears maximal due to minimal dimensional support."
    },
    "R2": {
      "behavior": "Projection-induced chaos; resonance patterns partially obscured.",
      "notes": "Dimensional compression amplifies divergence signals."
    },
    "R3": {
      "behavior": "Full nonlinear expression; attractors and recurrence structures visible.",
      "notes": "Chaos becomes a diagnostic rather than an ontology."
    }
  },

  "lineage": {
    "tracking": [
      "state_history",
      "resonance_cycles",
      "constraint_interactions"
    ],
    "effects": [
      "reduces apparent randomness",
      "reveals hidden recurrence",
      "stabilizes attractor geometry"
    ]
  },

  "simulation": {
    "hooks": [
      {
        "name": "resonance_envelope_sim",
        "description": "Simulates bounded divergence within substrate constraints."
      },
      {
        "name": "recurrence_cycle_sim",
        "description": "Generates recurrence loops under varying resolution."
      },
      {
        "name": "projection_loss_sim",
        "description": "Models chaos emergence under dimensional compression."
      }
    ],
    "notes": "Simulations operate on resonance patterns, not geometric primitives."
  },

  "hybrid_canon": {
    "interfaces": [
      "information_theory.rtt3",
      "thermodynamics.rtt3",
      "quantum_mechanics.rtt3"
    ],
    "purpose": "Enable agentic AIs to reason across modules using shared substrate invariants.",
    "scaffolding": [
      "triadic substrate mapping",
      "multi-regime coherence",
      "lineage-aware propagation"
    ]
  },

  "coherence": {
    "invariants": [
      "resonance envelopes remain bounded",
      "recurrence persists under increased resolution",
      "attractor geometry stabilizes with lineage tracking"
    ],
    "failure_modes": [
      "collapse of resonance wells",
      "loss of recurrence cycles",
      "unbounded divergence under substrate constraints"
    ]
  }
}