A Machine Learning Infrastructure for Assetizing and Evolving Decision Data — Decision Trace Ledger × GNN Core
■ Introduction
Until now, AI has evolved as a system that handles signals, such as:
Predicting
Classifying
...
人工知能:Artificial Intelligence
Decision Trace Studio — A new foundation for designing, executing, and improving decision-making
Introduction
AI is already highly accurate.
It can classify.It can predict.It can generate text.
And yet, in real-wor...
The Minimum Architecture for Decision-Capable AI — Light DTM Starter Kit Released
Introduction
AI is already sufficiently intelligent.
It can classify.
It can predict.
It can generate text.
And...
What is Cognitive Orchestration? — A Cognitive Architecture of Stability × Creativity × Variation Extending Reinforcement Learning
Introduction
AI has traditionally been discussed within two primary frameworks:
Prediction
Reinforcement Lear...
Why the Same AI Leads to Different Decisions — The Invisible Design of Decision Priorities
Introduction
In the past, I implemented AI using Light DTM (Decision Trace Model) in two very different domains:
...
Lightweight DTM for Building “Decision-Capable AI” — Can Customer Support Truly Be Automated?
■ Introduction
When I talk about the Decision Trace Model (DTM), I often hear:
“That kind of rich design is not fe...
What Multi-Agent Orchestrator Core Can Do — The Execution Layer of a Decision System
Introduction
To realize a Decision System,it is not enough to simply separateSignal (predictions, scores) and Decision....
Why AI Can’t Make Decisions — The Reason We Built Decision Trace Ledger Core
Introduction
Most modern AI systems are designed around:
Prediction
Scoring
Classification
In other wor...
Is Kaizen Only Possible by Humans? Decision Trace Model × Multi-Agent Systems Unlock the Next Evolution of Improvement
In manufacturing, improvement (Kaizen) holds a special meaning.
Insights from the shop floor
Ingenuity of worker...
Creativity as Variation — The Essence of Human Creativity Revealed by LLMs and the Design of Controllable Creativity —
Introduction
One of the most fascinating applications of large language models (LLMs) is:
Creative Generation
For exa...