Multi-Agent Consensus Protocols
Formal verification of agreement mechanisms in cooperative AI systems
Research into Byzantine fault-tolerant consensus protocols adapted for multi-agent AI systems, exploring how autonomous agents can reach reliable agreement on shared state despite partial failures.
- Hypothesis
- BFT protocols can be adapted for LLM agent coordination
- Distributed Systems · Game Theory
- Methodology
- Formal proofs with simulation on 50-agent clusters
- TLA+ · Python · NetworkX
- Findings
- 3x convergence speedup vs naive voting mechanisms
- Paper in preparation