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

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Yoshimitsu Katayama
DOI: 10.5281/zenodo.20317672
Cited by: 4
References: 3

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 Not peer-reviewed empirical research.

Fields of Study & Subjects

Multi-Agent Systems and Negotiation Language and cultural evolution Embodied and Extended Cognition

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
21 May 2026
Language
EN