P106 — AIEP — AGI Cross-Domain Recombination Extension
applicant: Neil Grassby / status: review — to file priority: GB2519711.2 filed 20 November 2025
Summary
[0001] P25 (Cross-Domain Evidence Stitching) assembles composite evidence from existing artefacts across domains. P106 extends this to novel hypothesis generation: the substrate recombines concepts from archived branches across suppressed or distant domains to produce RecombinantBranchCandidates — novel reasoning branches that do not exist in either source domain but emerge from their deterministic cross-domain combination.
[0002] A RecombinantBranchCandidate is generated when the CrossDomainRecombinationEngine identifies two archived branches from structurally distant domains whose ConceptualDistanceScore falls within a schema-defined RecombinationWindow — close enough to combine, distant enough to be non-obvious.
[0003] ConceptualDistanceScore is computed as a deterministic function of domain classification divergence and branch conclusion field overlap: sufficient overlap to make combination coherent, sufficient divergence to make combination novel.
[0004] Each RecombinantBranchCandidate is admitted to the substrate as a new branch with RecombinantOriginHash = H(SourceBranchA ‖ SourceBranchB ‖ RecombinationRuleSetVersion ‖ SchemaVersionId), preserving full lineage of both source branches. Initial evidence weight is schema-defined RecombinantInitialWeight — below the dominant threshold, above the archive threshold. The dissent engine evaluates it immediately.
[0005] RecombinantBranchCandidates are constitutional outputs of the substrate, not model-generated suggestions. They are hash-bound, evidence-weighted, and subject to the full constitutional governance framework.
Claims
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A cross-domain recombination system within an AIEP substrate configured to: identify pairs of archived branches from structurally distant domains whose ConceptualDistanceScore falls within a schema-defined RecombinationWindow; generate RecombinantBranchCandidates from identified pairs; compute RecombinantOriginHash binding both source branches and recombination rule version; admit RecombinantBranchCandidates to the substrate at schema-defined initial weight; and submit to standard dissent engine evaluation.
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The system of claim 1 wherein ConceptualDistanceScore is computed deterministically from domain classification divergence and branch conclusion field overlap.
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The system of claim 1 wherein RecombinantBranchCandidates preserve full lineage of both source branches via RecombinantOriginHash.
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A computing system implementing the method of claim 1.
Drawings
FIG. 1 — Architecture diagram (see filed application for figures)
Figure 1 — ConceptualDistanceScore and RecombinationWindow
Archived Branch A Archived Branch B
Domain: BIOETHICS Domain: EPISTEMOLOGY
│ │
└──────────┬────────────────┘
▼
ConceptualDistanceScore = f(domain_divergence,
conclusion_field_overlap)
│
┌──────────▼──────────┐
│ Within Recombination│ Outside window ──► SKIP
│ Window? │
└──────────┬──────────┘
│ YES
▼
RecombinantBranchCandidate generated
Figure 2 — RecombinantBranchCandidate and RecombinantOriginHash
┌──────────────────────────────────────────┐
│ RecombinantBranchCandidate │
│ source_branch_hash_a │
│ source_branch_hash_b │
│ recombination_rule_version │
│ RecombinantOriginHash = H(a + b + rule) │
│ initial_weight = schema-defined │
└──────────────────┬───────────────────────┘
│
▼
Admitted to substrate at
initial weight — dissent
engine evaluation