Humanoid Decentralized Arbitration Neural Engine
This model performs autonomous task arbitration and negotiation between humanoid agents without centralized coordination.
It supports conflict detection, priority-weighted negotiation, and consensus-based resolution.
Objective
To ensure fair, efficient, and scalable task allocation across distributed humanoid systems.
Architecture
- Conflict Detection Encoder
- Priority Weighting Module
- Negotiation Simulation Layer
- Consensus Resolution Engine
Capabilities
- Autonomous dispute resolution
- Priority-aware task assignment
- Decentralized negotiation
- Governance-compatible coordination
Trained On
han-decentralized-task-arbitration-dataset-v1
Part of
Humanoid Network (HAN)
License
MIT
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