The Master-Embedded Device: Transferring Tacit Knowledge Density into AI Agent Architecture
Indexed indatacite
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 Not peer-reviewed empirical research.
Citation impact
4
total citations
- FWCI
- 97.40
- Percentile
- 99%
- References
- 3
Too recent for citation history.
Authors
1Topics & keywords
Topics
Keywords
- Tacit knowledge
- Domain (mathematical analysis)
- Architecture
- Currency
- Domain knowledge
- Expert system
- Empirical research
- Baseline (sea)
No related works found for this paper.