UK Patent Application

Applicant: Neil Grassby

AIEP --- Deterministic Controlled Evolutionary Outlier Framework for Multi-Generation Challenger Lineage

Abstract

A computer-implemented method and system for governing multi-generation evolution of challenger branch lineages within a governed distributed reasoning substrate operating under an Architected Instruction & Evidence Protocol (AIEP). The framework extends single-generation controlled outlier generation to support deterministic multi-cycle evolution of challenger branches, where each generation inherits constitutional constraints from its parent and accumulates evidence across cycles. An EvolutionaryLineageHash encodes the full multi-generation heritage of each challenger branch. Evolutionary progression is bounded by constitutional fitness criteria. Challenger branches that cannot maintain minimum fitness across generations are archived non-destructively with NegativeProofHash attestation. The invention provides governed evolutionary search within constitutional boundaries.

Description

Field of the Invention

[0001] The present invention relates to governed distributed reasoning substrates and more particularly to deterministic multi-generation evolution of challenger reasoning branches within an Architected Instruction & Evidence Protocol (AIEP) system.

Background to the Invention

[0002] Single-generation controlled outlier generation as described in prior AIEP filings produces challenger branches from base artefacts under constraint-bound mutation. Multi-generation evolutionary exploration requires challenger branches to survive and evolve across multiple cycles, accumulating evidence and adapting within constitutional boundaries.

[0002A] Boundary Note (R5): The present invention governs the lifecycle and lineage layer of multi-generation evolutionary search — initialisation, fitness evaluation across cycles, heritage encoding, archival, and promotion. The single-cycle mutation operations applied at each generation are not claimed herein and may be implemented in accordance with any constitutionally governed mutation mechanism. This invention does not re-claim execution-level mutation operations governed by prior AIEP controlled outlier generation filings.

[0002B] Boundary Note (O4): The EvolutionaryConstraintSet is distinct from platform-wide MutationIntensityProfiles. A MutationIntensityProfile governs system-wide mutation amplitude across all operations. An EvolutionaryConstraintSet is scoped to a specific challenger branch lineage and governs the evolutionary trajectory of that branch across generations, including fitness criteria, inheritance rules, and generational scope boundaries. They operate at different granularities: platform-level vs branch-lineage-level.

[0003] Uncontrolled multi-generation evolution risks constitutional drift, lineage discontinuity, and unbounded computational expansion.

[0004] There exists a need for a controlled evolutionary framework that governs multi-generation challenger lineage deterministically, enforces constitutional constraints at each generation, and provides cryptographically verifiable evolutionary heritage.

Summary of the Invention

[0005] According to a first aspect, there is provided a method for controlled evolutionary outlier framework operation comprising:

(a) initialising a challenger branch via controlled outlier generation under schema-defined EvolutionaryConstraintSet;

(b) at each evolution cycle: evaluating challenger fitness against constitutional fitness criteria; permitting evidence-weighted mutation of the challenger under inherited constitutional constraints; computing an EvolutionaryLineageHash encoding the multi-generation heritage; and appending an evolution record to append-only lineage;

(c) archiving challenger branches non-destructively with NegativeProofHash attestation when fitness falls below minimum threshold for a defined duration; and

(d) elevating challengers to active consensus consideration when fitness exceeds promotion threshold sustained over a defined minimum duration.

[0006] According to a second aspect, there is provided a system comprising: an evolutionary fitness evaluator; an EvolutionaryLineageHash computation module; a mutation governor; an archival controller; and a promotion controller.

Detailed Description of Preferred Embodiments

1. EvolutionaryConstraintSet

[0007] The EvolutionaryConstraintSet is inherited by each challenger branch from its parent and may be modified only through constitutional mutation intensity governance.

[0008] The constraint set defines: permitted mutation types per generation; fitness evaluation criteria; minimum fitness threshold; promotion threshold; and maximum generation depth.

2. EvolutionaryLineageHash

[0009] EvolutionaryLineageHash is computed at each generation as a cryptographic function over: the prior generation hash; the current generation mutation encoding; the fitness evaluation result; and a generation timestamp.

[0010] The full evolutionary heritage of a challenger branch is recoverable by hash traversal.

3. Fitness Evaluation and Archival

[0011] Fitness is evaluated at each generation against schema-defined criteria.

[0012] Challenger branches below minimum fitness for a defined consecutive generation count are archived non-destructively.

[0013] Archival records NegativeProofHash and evolutionary lineage for future reactivation.

Technical Effect

[0014] The invention provides governed multi-generation evolutionary search within constitutional boundaries.

[0015] It preserves complete evolutionary heritage in cryptographically verifiable lineage.

[0016] It prevents constitutional drift through inherited constraint enforcement.

CLAIMS

1. A computer-implemented method for controlled multi-generation evolutionary outlier operation in a governed reasoning substrate, comprising: initialising challenger branches under an EvolutionaryConstraintSet; at each evolution cycle: evaluating challenger fitness against constitutional criteria; invoking single-cycle mutation operations in accordance with the EvolutionaryConstraintSet without re-claiming execution-level mutation mechanisms governed by prior AIEP filings; computing EvolutionaryLineageHash over prior generation hash, mutation encoding, fitness score, and timestamp; and appending an evolution record to append-only lineage; archiving challengers non-destructively upon sustained fitness threshold failure, wherein fitness is evaluated against constitutional performance criteria applied to the challenger branch outputs — distinct from output-vector divergence magnitude computed against a reference evaluation state as used in recall divergence control mechanisms; and elevating challengers to consensus consideration upon sustained promotion threshold satisfaction.

2. The method of claim 1 wherein EvolutionaryLineageHash encodes multi-generation heritage enabling full heritage recovery by hash traversal.

3. The method of claim 1 wherein the EvolutionaryConstraintSet is inherited by each generation and modifiable only through constitutional mutation intensity governance.

4. A system for controlled evolutionary outlier operation comprising: an evolutionary fitness evaluator; an EvolutionaryLineageHash module; a mutation governor; an archival controller; and a promotion controller.

5. A non-transitory computer-readable medium storing instructions which, when executed, perform the method of claim 1.

Abstract

A controlled evolutionary outlier framework for AIEP governed substrates. Challenger branches are initialised under EvolutionaryConstraintSets and evolved across multiple cycles with fitness evaluation, constrained mutation, and EvolutionaryLineageHash encoding at each generation. Challengers below fitness threshold are archived non-destructively. Promotion threshold satisfaction elevates challengers to consensus consideration. The invention provides governed multi-generation evolutionary search with cryptographically verifiable heritage within constitutional boundaries.

Brief Description of the Drawing

FIG. 1 — Controlled Outlier Generation

   ┌────────────────────────────────────────────┐
   │   Primary Canonical Evidence Stream        │
   │   E1 ── E2 ── E3 ── E4 ── E5              │
   └─────────────────────────────────────────────┘
                    │
                    │ outlier generation engine
                    │ (bounded operator set)
   ┌────────────────▼────────────────────────────┐
   │   Structured Dissent (Outlier Ledger)       │
   │                                             │
   │   O1: parameter relaxation variant          │
   │   O2: context promotion variant             │
   │   O3: claim weakening variant               │
   │                                             │
   │   Each: hash-chained · deviation scored     │
   │         preserved · not elevated            │
   └─────────────────────────────────────────────┘