Recursive Micro-Networks for Efficient Reasoning

Micro-networks excel when complemented by symbolic or heuristic components.

• Constraint Solvers: For logic puzzles, feed intermediate results into solvers that enforce rule consistency.
• Search Procedures: Implement beam search or Monte Carlo tree search guided by the micro-network’s scoring.
• Domain Heuristics: Inject domain-specific heuristics (e.g., symmetry detection, arithmetic facts) as hints or features.
• External Memory: Use key-value stores to cache known patterns, allowing quick retrieval during recursion.

These integrations keep the neural component focused on pattern detection while deterministic tools enforce correctness.