Knowledge Development

Exploring how software development is evolving into knowledge development in practice — where curated knowledge is refined through AI-assisted modeling and documentation, and software emerges as part of that evolving body of knowledge.

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Knowledge Development

The Philosophy of 1.5hop+: Meaning-Oriented Concept Neighborhoods

1.5hop+ is a knowledge graph exploration approach that constructs concept neighborhoods based on semantic structure rather than fixed traversal distance. By leveraging CML/UML metamodel structures, it provides sufficient semantic context for generative AI, balancing accuracy and efficiency. Read More

2026-03-23

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Knowledge Development

AI Knowledge Creation Architecture: Toward a Next-Generation SECI Model

In this article, we reorganize the processes of knowledge activation, assimilation, expression, promotion, and circulation that occur when using generative AI, and clarify how human/organizational knowledge creation connects with AI-based knowledge generation. Our objective is to redraw the knowledge-creation spiral for the AI era, centered on the two-layer structure of AI tacit knowledge and the Body of Knowledge. Read More

2025-11-24

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KnowledgeDevelopment AI Collaboration Architecture

This article describes the AI collaboration architecture in SimpleModeling, where the SmartDox site — a structured corpus of literate model documents — contains both ordinary SmartDox documents and CML (Cozy Modeling Language) documents. The SmartDox command analyzes the entire site and produces three outputs: MCP for actions, HTML for understanding, and Web Metadata for semantics. These are unified into the BoK, which AI retrieves and assimilates through RAG, promoting it through learning.

2025-10-27