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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