{
  "ai.module": "morphic_resonance.rtt1",
  "ai.version": "1.0",
  "ai.purpose": "RTT/1 engine layer for Morphic Resonance: operator grammar, recurrence behavior, pattern activation, and minimal coherence examples.",
  "ai.keywords": [
    "morphic resonance",
    "pattern recurrence",
    "activation",
    "dimensional coherence",
    "cross-temporal structure",
    "rtt1"
  ],

  "engine": {
    "layer": "RTT/1",
    "description": "Defines the operator grammar and dimensional behavior of pattern recurrence, activation, and cross-temporal coherence."
  },

  "operators": {
    "core": {
      "pattern_operator": {
        "type": "structure_operator",
        "description": "Represents the underlying operator structure that defines a pattern.",
        "signals": ["dimensional_signature", "coherence_profile"]
      },
      "activation_operator": {
        "type": "trigger_operator",
        "description": "Activates a pattern when resonance thresholds are met.",
        "signals": ["activation_threshold", "pattern_similarity"]
      },
      "recurrence_operator": {
        "type": "coherence_operator",
        "description": "Describes how patterns recur across time or instances.",
        "signals": ["lineage_trace", "cross_temporal_alignment"]
      },
      "coherence_link": {
        "type": "relation_operator",
        "description": "Links similar patterns across systems or epochs.",
        "signals": ["similarity_metric", "resonance_strength"]
      },
      "dimensional_anchor": {
        "type": "stability_operator",
        "description": "Anchors a pattern to a stable dimensional configuration.",
        "signals": ["anchor_depth", "pattern_invariance"]
      }
    },

    "supporting": {
      "pattern_similarity_metric": {
        "type": "comparison_operator",
        "description": "Quantifies similarity between pattern operators."
      },
      "lineage_trace": {
        "type": "history_operator",
        "description": "Tracks recurrence across time or system instances."
      },
      "resonance_threshold": {
        "type": "constraint",
        "description": "Defines the minimum coherence required for activation."
      },
      "cross_temporal_mapping": {
        "type": "mapping_operator",
        "description": "Maps patterns across temporal or dimensional boundaries."
      }
    }
  },

  "dimensional_mapping": {
    "R1": "Weak recurrence; unstable coherence; primitive pattern activation.",
    "R2": "Stable operator structure; predictable recurrence; strong activation.",
    "R3": "Cross-temporal resonance; lineage-level stability; high coherence.",
    "R0": "No pattern substrate; recurrence undefined."
  },

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

  "examples": {
    "minimal": [
      {
        "name": "Repeated Biological Form",
        "demonstrates": ["pattern_operator", "recurrence_operator"]
      },
      {
        "name": "Activation Threshold Event",
        "demonstrates": ["activation_operator", "resonance_threshold"]
      },
      {
        "name": "Cross-Temporal Pattern Alignment",
        "demonstrates": ["coherence_link", "cross_temporal_mapping"]
      }
    ]
  },

  "integration": {
    "cross_module": [
      "information_theory.rtt1",
      "evolutionary_biology.rtt1",
      "cognition.rtt1",
      "complex_systems.rtt1"
    ],
    "notes": "RTT/1 treats Morphic Resonance as a dimensional recurrence grammar; deeper resonance and substrate integration occur in RTT/2 and RTT/3."
  }
}