Humanoid Distributed Consensus Integrity Model
This model ensures reliable multi-agent consensus formation across decentralized humanoid systems.
It validates agreement signals, detects inconsistent votes, and prevents malicious or faulty consensus influence.
Objective
To provide trust-weighted consensus for distributed humanoid decision-making.
Architecture
- Proposal Encoding Layer
- Trust-Weighted Voting Module
- Conflict Detection Engine
- Byzantine Pattern Analyzer
- Consensus Finalization Gate
Capabilities
- Multi-node proposal validation
- Trust score-based voting adjustment
- Conflict clustering detection
- Byzantine-like anomaly filtering
- Final consensus certification
Operational Mode
- Distributed proposal broadcast
- Parallel vote aggregation
- Integrity scoring
- Threshold-based finalization
Designed For
Large-scale humanoid swarms requiring synchronized decisions without centralized control.
Part of
Humanoid Network (HAN)
License
MIT
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