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 Not peer-reviewed empirical research.
Authors
- Yoshimitsu Katayama (ORCID: https://orcid.org/0009-0006-2290-6593)
Institutions
- Bukhara State University (UZ)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-05-21
- DOI
- https://doi.org/10.5281/zenodo.20317672
- Citations
- 4
- Primary Topic
- Multi-Agent Systems and Negotiation
- Type
- article
- Field-Weighted Citation Impact
- 97.40