■ Technical Reference
This section systematically organizes knowledge ranging from
fundamental concepts to practical technologies in AI, machine learning, programming, and DX.
Rather than being a collection of isolated technical explanations,
it is designed as a reference that connects
decision structures (Decision Trace) with implementation technologies.
■ Positioning of This Section
The Decision Trace Model is not just a concept.
It is an implementable architecture that defines:
- how decisions are structured
- how they are executed
- how they are recorded and continuously improved
In this section, each component is explained
along with actual code and implementation examples.
■ Implementable Components
The Decision Trace Model consists of the following technical elements:
- Ontology (Semantic Definition)
Defines the meaning of data and concepts, forming the foundation of decision-making - DSL (Decision Rules)
Explicitly describes decision conditions and rules - Behavior Tree (Execution Control)
Structurally controls the flow of decisions and processes - Multi-Agent (Role Decomposition)
Separates and coordinates roles such as evaluation, decision-making, and execution - LLM Integration (Signal Generation)
Utilizes generative AI as input signals for decision-making
All of these components can be implemented as real systems.
■ Core Concepts
Key concepts for understanding decision systems:
- Decision Trace Model
- Multi-Agent Systems
- Ontology
- DSL (Decision Rules)
- Behavior Tree
- Graph Neural Networks (GNN)
Theoretical and design foundations for understanding decision structures
■ Technical Domains
This reference covers the following domains in an integrated manner:
- Machine Learning
Models, prediction, feature engineering, and evaluation - Artificial Intelligence
Reasoning, knowledge representation, agents, and generative AI - Programming
Implementation techniques, design patterns, and architecture - ICT (Information and Communication Technology)
System design centered on integrating data, AI, and business processes - DX (Digital Transformation)
System design, data utilization, and business transformation - Life & Tips
Practical insights, applications, and ways to apply technology in real-world and daily contexts
■ What You Will Gain from This Section
- Knowledge for designing decision structures
- Methods to integrate AI and rules into real systems
- Practical patterns applicable to real-world operations
- A bridge between concepts and implementation