Technical Reference
This section systematically organizes topics related to AI, machine learning, programming, and digital transformation (DX),
from fundamental concepts to practical implementation techniques.
It serves as a technical reference that bridges the structure of decision-making (Decision Trace) with real-world implementation.
The Decision Trace Model is not just a concept.
All of its components can be implemented as code.
- Ontology (definition of meaning)
- DSL (decision conditions)
- Behavior Tree (execution control)
- Multi-Agent (role-based decomposition)
- LLM integration (signal generation)
All of these are explained with actual code examples.
Core Concept
- Decision Trace Model
- Multi-Agent Systems
- DSL (Decision Rules)
- Behavior Tree
- Graph Neural Networks (GNN)