Humanoid Adaptive Capability Evolution Model
This model optimizes distributed skill growth
across humanoid agents.
It analyzes performance gradients,
detects specialization trends,
and dynamically recommends role adjustments.
Objective
To maximize collective efficiency
through adaptive capability evolution.
Architecture
- Capability Embedding Layer
- Performance Gradient Analyzer
- Specialization Cluster Detector
- Role Optimization Engine
- Evolution Feedback Loop
Capabilities
- Skill progression modeling
- Cluster-based specialization
- Adaptive role reassignment
- Performance optimization
- Redundancy reduction
Operational Mode
- Capability vector ingestion
- Gradient analysis
- Role optimization
- Continuous adaptation
Part of
Humanoid Network (HAN)
License
MIT
