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[Feature]: anti-pattern mining and objective fitness formulation from burrow.jsonl for heuristic guidance #104

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Description

@hyperpolymath

Problem / motivation

Context & Motivation

Proof Burrower maintains an append-only JSONL ledger (burrow.jsonl) recording every proof attempt, specialist recommendation, prover output, and anti-pattern encountered across sessions.

Currently, burrower ledger anti-patterns provides summary text reporting. To support heuristic and metaheuristic search algorithms (like ParadisEO's fitness evaluation operators), we need to extract a formal, quantitative fitness landscape from historical ledger entries.

Proposed solution

Proposed Changes

Quantitative Fitness Evaluator (burrower_core::fitness):
    Implement an objective scoring function for candidate proof states:
    Fitness(S)=w1⋅GoalReduction(S)+w2⋅SignatureSimilarity(S)−w3⋅AntiPatternPenalty(S)−w4⋅EstimatedTime(S)Fitness(S)=w1​⋅GoalReduction(S)+w2​⋅SignatureSimilarity(S)−w3​⋅AntiPatternPenalty(S)−w4​⋅EstimatedTime(S)
    Define continuous and ordinal score surfaces for intermediate unproved states (e.g. remaining sub-goal count, term complexity, quantifier depth).
Automated Anti-Pattern Penalty Matrix:
    Mine burrow.jsonl for high-frequency failure loops (e.g., looping simplifier rewrites, diverged induction steps).
    Compute penalty weights that heavily depress the fitness score of search paths mirroring known anti-patterns.
CLI & Socket Surface:
    Expose burrower fitness "<goal>" "<tactic_script>" via CLI and /tmp/burrower.sock so external optimizers and ECHIDNA can query fitness scores on demand.

Acceptance Criteria

Unit tests verify that known anti-patterns in the ledger receive significant negative fitness penalties.
Fitness evaluation latency is under 1 ms1ms per candidate script (in-memory evaluation without invoking live prover).
CLI and socket endpoints conform to the existing line-delimited JSON API specification.

Alternatives considered

No response

Rough scope

None

Additional context

References

Proof Burrower Ledger Specification: docs/ECHIDNA-INTEGRATION.adoc
ParadisEO Evaluation & Fitness Operators: eo/src/eoEvalFunc.h

Before submitting

  • I searched existing issues and discussions for this idea.
  • This fits the scope and goals of the project as I understand them.
  • I would be willing to help implement this.
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