The Master-Embedded Device: Transferring Tacit Knowledge Density into AI Agent Architecture

This paper proposes the Master-Embedded Device — a PC or AI agent architecture in which the accumulated tacit knowledge of a domain expert is structurally transferred into an AI agent, enabling successors to operate at a higher baseline density of output with lower friction. We formalize this using V = N / D and connect it to the Hikari Currency moral economy. Scope: Exploratory framework proposal. Not peer-reviewed empirical research.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-21
DOI
https://doi.org/10.5281/zenodo.20317671
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
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article

The Master-Embedded Device: Transferring Tacit Knowledge Density into AI Agent Architecture

Yoshimitsu Katayama
Zenodo (CERN European Organization for Nuclear Research)
Multi-Agent Systems and Negotiation
article

The Master-Embedded Device: Transferring Tacit Knowledge Density into AI Agent Architecture

Yoshimitsu Katayama
article en

Abstract

This paper proposes the Master-Embedded Device — a PC or AI agent architecture in which the accumulated tacit knowledge of a domain expert is structurally transferred into an AI agent, enabling successors to operate at a higher baseline density of output with lower friction. We formalize this using V = N / D and connect it to the Hikari Currency moral economy. Scope: Exploratory framework proposal. Not peer-reviewed empirical research.

Zenodo (CERN European Organization for Nuclear Research)
Bukhara State University (UZ)
Decent work and economic growth
Openalex Percentile: Top 5%
Multi-Agent Systems and Negotiation
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