Learning
How PML learns from agent workflows.
Topics
| Document | Description |
|---|---|
| GraphRAG | Knowledge graph structure and algorithms |
| Dependencies | Tool and capability relationships |
| Confidence Levels | template → inferred → observed |
| Feedback Loop | How the system improves over time |
Overview
PML learns in three ways:
- GraphRAG - Stores relationships between tools, patterns, and capabilities in a SuperHyperGraph (recursive structure supporting meta-capabilities)
- Dependency Tracking - Learns which tools work well together
- Confidence Evolution - Patterns gain confidence as they're validated through execution