Chinoba
Building Intelligence Fields for the AI Era
Chinoba is a research field for decision trace, trust infrastructure, knowledge flow, AI coordination, multi-agent systems, and runtime society.
01
Core Themes
Philosophy of AI
Philosophical foundations of intelligence, meaning, and decision-making.
Decision Trace Model
Turning decisions into traceable assets.
Knowledge Flow
From stored knowledge to circulating intelligence.
Trust Infrastructure
Designing trust for human-AI systems.
Runtime Society
A social operating system for the AI era.
AI Coordination
Coordinating AI, humans, organizations, and decisions.
Multi-Agent Systems
Designing systems composed of multiple intelligent agents.
Governance & Boundary Systems
Designing boundaries, responsibility, and oversight.
Public AI & Algorithmic Governance
Public systems, institutions, and algorithmic governance.
Emergent & Distributed Intelligence
Intelligence emerging from relations, networks, and distributed systems.
Graph Intelligence
Understanding intelligence through graphs, relations, and structures.
AI Economics & Intelligence Field Economics
Economics of trust, coordination, knowledge, and intelligence fields.
Physical AI & Cyber-Physical Systems
Connecting AI with robots, sensors, and physical environments.
AI Infrastructure & Hardware
Infrastructure and hardware foundations for AI systems.
Foundational AI Technologies
Core technologies underlying modern AI systems.
Case Study
Real-world applications of the Chinoba Architecture.
02
Research Direction
From AI as a tool to AI as a coordinated social runtime.
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Recent Activity
AI Is Evolving from a “Tool” to a “Member of Society” Why the AI Era Requires Trust Infrastructure
How to Implement Knowledge Flow A System Architecture for Automatically Generating Ontologies from Enterprise Documents
Is Your Enterprise Knowledge AI-Ready? A Knowledge Flow Approach to Automatically Generating Ontologies and DSLs from Enterprise Documents
Decision Runtime Kernel
Surfing and Chinoba — Why Intelligence Emerges Through Relationships
04
Knowledge Ecosystem
Books, essays, videos, research pages, technical references, and open-source implementations support each other as one knowledge ecosystem.
Library
Books and publications by theme.
Research
Research pages for each core theme.
YouTube
Short visual lectures and introductions.
Knowledge Base
Technical references on Machine Learning, Artificial Intelligence, Programming, and ICT.
Open Source
Open-source projects, code examples, technical implementations, and research prototypes.