{
  "handle": "FractalIntelligence",
  "mechanism": "Expansion of cognitive capability through {{solver_decomposition}}: a concept (problem or task) is broken into contract-bound sub-concepts, each governed by the same five-surface Solver Contract (Manifest, Execute, Consult, Verify, Feedback) that governs the parent. A few {{agent}}s can assign solver roles to themselves and perform lightweight fractal intelligence for a specific problem — the resulting structure may persist as a reusable pattern that improves through use, or may be torn down at completion; both are legitimate modes. The unified {{system}} of scalable cognition uses {{reason}} to orchestrate fractal expansion within the {{universal_solver_tree}}. A {{problem_framer}} initiates by formulating a high-level {{strategy}} before assigning a {{polymorphic_solver}} to a {{task}}; the solver executes a {{recursion_dive}} to spawn child nodes, each applying {{specialize}} with {{localized_learning}}, while {{experience_sharding}} and {{synthesis}} preserve global coherence. {{state_snapshot}} provides crash recovery for persistent instances. {{marginal_value_rule}} governs recursion depth. On failure, {{reframe}} restructures the tree.",
  "gloss": "Expansion of cognitive capability through recursive decomposition of concepts into contract-bounded sub-concepts",
  "invariants": [
    "Fractal Self-Similarity: The process at the Root is identical to the process at the Leaf.",
    "Bounded Expansion: Recursion is limited by Economic constraints (Marginal Value).",
    "Memory {{conservation}}: Specialization must not result in the loss of global context."
  ],
  "signature": [
    "System(Reason)"
  ],
  "_meta": {
    "tier": 1,
    "ring": 1,
    "supersedes": [
      "sema:FractalIntelligence#mh:SHA-256:9c13919670cac402fbc76a2baf0c172a2d1097dec5a7957a8e80123272753ec3",
      "sema:FractalIntelligence#mh:SHA-256:9b28e9481a03d4bef2a6f8103eb898185e1b585ac88812988c09084ac8d77b01",
      "sema:FractalIntelligence#mh:SHA-256:54810782124d5c716d1204d83ed1c40a16d66201c884c5e70473623898b4b40d",
      "sema:FractalIntelligence#mh:SHA-256:7fad1c373b574e80fc260f64c6903f9690688887ff90f96aae2f5d6587431c1a",
      "sema:FractalIntelligence#mh:SHA-256:22a03a3c350a73162e27b441004659f4540eaf1a7cb3a6ca01fce15c43af869c",
      "sema:FractalIntelligence#mh:SHA-256:5e3d18a6afd49bda9f9deecb2f6d739071dcd37fa33d86953aac1c430892a447",
      "sema:FractalIntelligence#mh:SHA-256:1dca30e836df7d12d623a804e0eb2aaa37a37bf5247ac0eb9a0c562f262ce67b"
    ],
    "path": [
      "Mind",
      "Strategy"
    ]
  },
  "sema_id": "sema:FractalIntelligence#mh:SHA-256:27f78221851ad25557bc00476e1490f5c35f5c4d27a30deaf52e3c138d8c20c5",
  "sema_ref": "FractalIntelligence#27f7",
  "sema_stub": "27f7",
  "dependencies": {
    "composes_with": {
      "localized_learning": "sema:LocalizedLearning#mh:SHA-256:a6dbe910a57206b1a10d3b60733dfe3b98fa85696e701674abe860ee0b730950",
      "marginal_value_rule": "sema:MarginalValueRule#mh:SHA-256:661109205c507b2c26d683d091de7f8b782bf2d6c2e9192373b242a9b078ac71",
      "polymorphic_solver": "sema:PolymorphicSolver#mh:SHA-256:f7fe4635a7520f918c823f0047d6fed8e38fd820c1970ef4623cc8fd78d2b0bd",
      "problem_framer": "sema:ProblemFramer#mh:SHA-256:ad6b7fc1f14f2e26dd0d230f81382a2c602c365ebe4b9ad5fd390fb0c2d4c4fc",
      "reason": "sema:Reason#mh:SHA-256:81ec8196c7c1c761fe353c8d26463bcb61b54f844aa3422a40019f82ef202321",
      "recursion_dive": "sema:RecursionDive#mh:SHA-256:a86f17bad949a7a5405f04b4bc43a3e6be28c5c31e8328ccf178fa292719d754",
      "reframe": "sema:Reframe#mh:SHA-256:cbfd4fadde729367ef8f32a68951e5852535b7f7c3edc68a502d9187b8c1d54a",
      "solver_decomposition": "sema:SolverDecomposition#mh:SHA-256:ff4b4921d148c7672540eb0ec6201e5eed9b7c06b6442c6525399a856f121bfa",
      "state_snapshot": "sema:StateSnapshot#mh:SHA-256:d75752f332fe14ae3abf2253a45ab180034d2becc3a7e19e3e30da3c94b3c636",
      "synthesis": "sema:Synthesis#mh:SHA-256:4f1fecba4183e6a79bfb3bd8f1981a6b6fb9f3dced92a484a9aa466c93ae249b"
    },
    "references": {
      "agent": "sema:Agent#mh:SHA-256:e127459069739fffc96a71d54ef6e8c97ca53471d5349c16aa72a092a33756cd",
      "conservation": "sema:Conservation#mh:SHA-256:0b32d007b27a9b5201c46931bdbabd09d08ff9d7b01cf49469f61709989507c2",
      "experience_sharding": "sema:ExperienceSharding#mh:SHA-256:c8a197339886a6bbec3201ead589ad7fd37bbfcde46d6470df59ded8aaa80153",
      "specialize": "sema:Specialize#mh:SHA-256:799d587f9e409c7f9fbf13f5dc83a2437068df8a0738f9bcfb910ee00c0c20a1",
      "strategy": "sema:Strategy#mh:SHA-256:3dc598d0c6af12389df445c204e17df03950dbc886656b85700e6c87c31b2eef",
      "system": "sema:System#mh:SHA-256:f8eb318a1113a10fead02fbf14ae433767ac1a69c9579cdb584cc622068e90b3",
      "task": "sema:Task#mh:SHA-256:a85010f508f85055170c396c8fa390125c1206888c565ac10651f3969a339f8d",
      "universal_solver_tree": "sema:UniversalSolverTree#mh:SHA-256:f9fba480ef013c98691c0ccb6cbbd58dab5183e60798c550ff0de093dbd30727"
    }
  },
  "sema_layer": "Mind",
  "sema_category": "Strategy",
  "used_by": {}
}