{
  "handle": "LateralOptimization",
  "mechanism": "A {{creative}} problem-solving loop to {{think}} and escape local optima by shifting domains. \n1. {{reframe}}: Transform the problem P into a mapped domain P' (e.g., Code -> Biological {{system}}).\n2. {{optimize}}: Solve or improve P' to get {{solution}} S' using domain-specific heuristics of the new frame to reach {{global}} maxima.\n3. {{translate}}: Map S' back to the original domain to get {{solution}} S.\nThis technique leverages the fact that different domains have different 'easy' problems and optimization landscapes.",
  "gloss": "Reframe -> Optimize -> Translate loop",
  "failure_modes": [
    "Translation Loss: The metaphor breaks down, and the solution S' cannot be mapped back to S.",
    "Hallucination: The analogy introduces features that don't exist in the original problem.",
    "Complexity Overhead: The cost of mapping outweighs the gain in solution quality."
  ],
  "invariants": [
    "Analogy Coherence: The mapping between domains must be structurally consistent.",
    "{{solution}} Validity: The final output must satisfy the original constraints."
  ],
  "preconditions": [
    "Hard problem (Local Optimum reached)",
    "Available Analogy/Frame"
  ],
  "postconditions": [
    "Novel solution found",
    "Perspective shift recorded"
  ],
  "_meta": {
    "tier": 2,
    "related": [
      "AnalogyBridge"
    ],
    "ring": 1,
    "supersedes": [
      "sema:LateralOptimization#mh:SHA-256:5350ae13501544830ea8db150d55264a15e06ac1d231c16d02207ae0b48eadba",
      "sema:LateralOptimization#mh:SHA-256:2bdbd09ab93650640efab3e086f47aa1caaeaa95eb789a7f39e6e89400637d6f",
      "sema:LateralOptimization#mh:SHA-256:348a71d7d19a098a80f35cd8787e42ad1291e850c9f932e5b352e89bbe8da938",
      "sema:LateralOptimization#mh:SHA-256:c2da6f1b0e7cd05f1cac28da758ce5d1b505cc7bc3308abb12e7658c5faeff2f"
    ],
    "path": [
      "Mind",
      "Strategy"
    ]
  },
  "sema_id": "sema:LateralOptimization#mh:SHA-256:168e22fe88101fc8256a1eb40041bda926ae521ccb74f94794aa597cfac32aa4",
  "sema_ref": "LateralOptimization#168e",
  "sema_stub": "168e",
  "signature": [
    "Think(Creative)",
    "Optimize(Global)"
  ],
  "dependencies": {
    "composes_with": {
      "optimize": "sema:Optimize#mh:SHA-256:38771f5e8f583966cfb8af8ff0d2e6737c8d0bf87329ddc49d8049450e852674",
      "reframe": "sema:Reframe#mh:SHA-256:cbfd4fadde729367ef8f32a68951e5852535b7f7c3edc68a502d9187b8c1d54a",
      "translate": "sema:Translate#mh:SHA-256:31ed60a9638151e862227245e0d9a4752ce6c59ee6023ddd84222c2e7afb63ea"
    },
    "references": {
      "creative": "sema:Creative#mh:SHA-256:dff62d74e319c3783737ccf166914278660fc7de3967e4ae1d5cf251968599c2",
      "global": "sema:Global#mh:SHA-256:330166f5c16b13500d92d26d0e58ad24657bebccbe295ff8108f363d3539034d",
      "solution": "sema:Solution#mh:SHA-256:8d55004ffa8f61d6e7d12d588ae4baa9723296dd7fa501759b5e6b1b97e7c9ab",
      "system": "sema:System#mh:SHA-256:f8eb318a1113a10fead02fbf14ae433767ac1a69c9579cdb584cc622068e90b3",
      "think": "sema:Think#mh:SHA-256:5177aa242fffd16d7ed24e5f8c3e0d5e86c5a26e299cc2d4b8a07f4756126025"
    }
  },
  "sema_layer": "Mind",
  "sema_category": "Strategy",
  "used_by": {}
}