When Should AI Think in Parallel? Adaptive Parallel Reasoning and the Decision Scheduler in Chinoba
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Adaptive Parallel Reasoning — Designing Multi-Agent AI for Complex Decisions...
Building a Semantic Field Runtime for Manufacturing with Raspberry Pi and Virtual Agents — A Chinoba PF Demo for Anomaly Precursors, Impact Scope, and Response Traces —
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Building a Semantic Digital Twin with Raspberry Pi and Mac From Factory Sign...
Explaining AI Decisions Requires Understanding Combinations of Evidence Evidence Interaction Graphs and Counterfactual Receipts in Chinoba
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Explaining AI Decisions Through Evidence Combinations Chinoba’s Evidence Int...
Ontology Blast-Radius Report：A One-Line Change Can Have a Wide Impact in an Ontology-Based System
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Ontology Blast-Radius Report | Visualizing the Impact of Ontology Changes Be...
From Explainable AI to Verifiable AI Chinoba PF as a Foundation for Making Decisions Verifiable
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From Explainable AI to Verifiable AI: Building a Foundation for Accountable ...
Enhancing Ephemora Cell Through the Lens of Runtime OS: Transforming a WASM Sandbox into a Verifiable AI Execution Platform
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What Is Ephemora Cell? Governing AI Agent Execution with Capabilities, Permi...
Must AI Only Produce Answers? Rethinking AI Through Zen Koans
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Beyond Answers: What Zen Koans Teach Us About AI and Deeper Thinking
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What Is Chinoba Economics? Reframing the AI-Era Economy from Transactions to Relationships
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Chinoba Economics | Reframing the AI Economy from Transactions to Relationsh...
Skill Trust Pipeline — Inspecting and Recording the Capabilities Granted to AI Agents Before Deployment
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Skill Trust Pipeline — Inspecting and Governing AI Agent Capabilities Before...
Making Physical AI Usable in the Enterprise: From IoT and LLMs to Semantic Digital Twins and Governed Agents
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How can Physical AI move beyond sensor monitoring and LLM chat to become a r...