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Provenance: Based on read-only look at proof-burrower@be897dd07e1a16014f2d0f8d9cbedffb0240dd4a
Context & Motivation
The Proof Burrower system performs automated tactic selection and proof search. Currently, it uses heuristic-based selection which can miss optimal tactic combinations.
ParadisEO-mo (Multi-Objective Optimization) provides delta/partial neighborhood evaluation capabilities that can intelligently explore combinatorial search spaces. Applying these to Proof Burrower's tactic playbook synthesis would enable more systematic exploration of tactic combinations.
Current State
Verified against proof-burrower@be897dd07e1a16014f2d0f8d9cbedffb0240dd4a:
TacticTemplate/Playbook/run_playbook/generate_probe exists in crates/burrower-core/src/attempt.rs
SWARM_RELEVANCE_THRESHOLD = 0.02 is defined in specialist.rs
Swarm::attempt_all exists in specialist.rs
Proposed Changes
Delta Evaluation: Implement ParadisEO-mo delta evaluation to measure marginal improvement of adding/removing tactics from playbooks
Partial Neighborhood Search: Use mo's partial neighborhood evaluation to explore tactic combinations without full re-evaluation
Playbook Optimization: Apply multi-objective optimization to synthesize optimal tactic playbooks for different proof domains
Acceptance Criteria
Delta evaluation reduces playbook synthesis time by at least 30%
Activity