Intelligence as Relationship
Chinoba is a research initiative exploring intelligence as relationships between AI, humans, organizations, protocols, and society.
A platform for runtime experimentation, decision infrastructure, and structured exploration of intelligence as a relational system.
AI is becoming operational.
But connecting AI to the real world remains difficult.
Chinoba explores how AI, humans, organizations, trust, and knowledge can be connected through structured decision systems.
A short introduction to the Chinoba research initiative and the idea of Intelligence as Relationship.
Explore the ideas behind Chinoba through our introductory books.
Interconnected investigations into intelligence, coordination, governance, and executable AI systems.
Traceable decision structures separating AI-generated signals from executable organizational decisions.
Knowledge artifacts produced from the Lines of Inquiry — the research formalized into durable, citable form.
24 books published · English & Japanese editions · organized across seven themes
Latest field notes from the blog · deus-ex-machina-ism.com
Updated continuously on the blog
Visit Blog →A framework for quantifying manufacturing work processes using wearable sensors and ontology-based stream data processing. The study focuses on real-time context understanding and semantic integration of industrial data.
Read →A deep neural network approach for predicting relationships among RDF entities represented in embedding spaces, enabling semantic reasoning and knowledge graph completion.
Read →Automatic Ontology Construction from Technical Dictionaries Based on Graph Module Decomposition
Research on automatically constructing ontologies from technical terminology dictionaries using graph modular decomposition techniques, enabling scalable knowledge engineering.
Read →Materials science research investigating structural changes in hydrogenated amorphous silicon prepared at high deposition rates. The work analyzes the effects of annealing and doping using positron annihilation techniques.
Read →Structuring Human Thought and Judgment into AI Systems
Presented at the 178th Square Free Seminar: “The Frontline of Trust and Systems Built with AI”
Coming SoonPresented at the 10th Annual Conference of ASHHE (Association for the Study of Hospitality and Hospitality Education)
Theme: 「デジタル社会とホスピタリティ」
Coming SoonExploring the Boundaries Between Humans and AI
Presented at Open Square #136
Watch →Before the era of LLMs, I was involved in AI-related initiatives at Fuji Xerox, imagining a future where AI could augment human knowledge work. Looking back, today's generative AI systems feel like a continuation of that dream.
Read →Where the research runs as code — prototypes and open-source systems that test the field in execution.
Not a chatbot.
A structured decision environment.
An experimental prototype for exploring structured decision-making under uncertainty.
Decision Trace · Runtime-based reasoning · Weak Signal handling · Boundary evaluation · Human Gate escalation
Core runtime for executing decisions with structured traces, gates, and boundaries.
View on GitHub →Reference implementation of the Decision Trace Model — schema, ingestion, replay.
View on GitHub →Primitives for AI–human–agent interaction loops with explicit boundaries.
View on GitHub →Composable view layer for inspecting traces, decisions, and runtime state.
View on GitHub →Where the research is published, built, taught, and discussed — consolidated entry points to every external surface.
22 volumes formalizing the field — English & Japanese editions.
Browse Library → Author Page →Recorded sessions, lectures, and visual explanations from the Chinoba Research Archive.
Watch →Public signals from the field — publications, experiments, and conversations.
Follow →Selected essays and field observations on intelligence as relationship, Runtime Society, and coordination systems.
Read on Medium →The latest across the field — drawn from essays, books, projects, and talks as they appear.
How traces become the substrate for coordinated decisions across agents and humans.
Read →The research compiled into a practical implementation guide.
View Library →Recent commits to the core runtime and trace primitives.
View on GitHub →178th Square Free Seminar — May 28, 2026, 19:00–20:30 JST.
See Session →An open invitation to enter the research mid-flow.
— Structuring Human Thought and Judgment into AI Systems —
Presented at the 178th Square Free Seminar:
“The Frontline of Trust and Systems Built with AI”
