{
  "ai.module": "morphic_resonance.rtt3",
  "ai.version": "1.0",
  "ai.purpose": "RTT/3 engine layer for Morphic Resonance: triadic-substrate integration, multi-regime simulation hooks, cross-temporal resonance mapping, and hybrid-canon scaffolding.",
  "ai.keywords": [
    "morphic resonance",
    "pattern recurrence",
    "dimensional coherence",
    "activation",
    "cross-temporal resonance",
    "substrate",
    "rtt3"
  ],

  "engine": {
    "layer": "RTT/3",
    "description": "Integrates Morphic Resonance into the triadic substrate, enabling multi-regime reasoning, cross-temporal coherence propagation, and hybrid-canon simulation."
  },

  "substrate_integration": {
    "mapping": {
      "structure": "Patterns correspond to substrate-level dimensional signatures; recurrence reflects reactivation of similar signatures across time.",
      "behavior": "Resonance flows between systems when operator structures align sufficiently.",
      "activation": "Activation occurs when resonance strength exceeds the substrate-defined threshold."
    },
    "constraints": [
      "Recurrence requires stable dimensional anchors.",
      "Operator similarity determines resonance strength.",
      "Cross-temporal propagation is limited by coherence decay."
    ]
  },

  "multi_regime": {
    "R1": {
      "behavior": "Weak recurrence; unstable coherence; primitive resonance.",
      "notes": "Patterns flicker; activation rare."
    },
    "R2": {
      "behavior": "Stable operator structure; predictable recurrence; strong resonance.",
      "notes": "Canonical MR behavior emerges here."
    },
    "R3": {
      "behavior": "Cross-temporal resonance; lineage-level stability; high coherence.",
      "notes": "Patterns propagate across epochs or system instances."
    },
    "R0": {
      "behavior": "No pattern substrate; recurrence undefined.",
      "notes": "No dimensional anchor available."
    }
  },

  "lineage": {
    "tracking": [
      "pattern_signature_history",
      "operator_similarity_flow",
      "activation_events",
      "lineage_stability"
    ],
    "effects": [
      "stabilizes long-term pattern behavior",
      "reveals hidden recurrence structure",
      "reduces apparent randomness",
      "enables cross-regime coherence"
    ]
  },

  "simulation": {
    "hooks": [
      {
        "name": "pattern_resonance_sim",
        "description": "Simulates resonance between pattern operators across time or systems."
      },
      {
        "name": "activation_threshold_sim",
        "description": "Models activation events based on resonance strength and operator similarity."
      },
      {
        "name": "lineage_resonance_sim",
        "description": "Simulates cross-temporal coherence flow across lineages."
      },
      {
        "name": "regime_transition_sim",
        "description": "Simulates breakdown or strengthening of recurrence across R1→R2→R3 transitions."
      }
    ],
    "notes": "Simulations operate on dimensional signatures and resonance patterns, not on physical fields or metaphysical influences."
  },

  "hybrid_canon": {
    "interfaces": [
      "information_theory.rtt3",
      "evolutionary_biology.rtt3",
      "cognition.rtt3",
      "complex_systems.rtt3"
    ],
    "purpose": "Enable agentic AIs to reason across biological, cognitive, informational, and systemic modules using shared dimensional invariants.",
    "scaffolding": [
      "triadic substrate mapping",
      "multi-regime coherence",
      "cross-temporal resonance integration",
      "operator-similarity coupling"
    ]
  },

  "coherence": {
    "invariants": [
      "stable pattern signatures",
      "operator similarity across instances",
      "predictable recurrence intervals",
      "cross-temporal coherence"
    ],
    "failure_modes": [
      "pattern drift",
      "operator mismatch",
      "insufficient resonance",
      "lineage discontinuity"
    ]
  }
}