Living Machine Knowledge Valuation and Protection System
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Solution Overview
Problem
There is no existing machine technology that effectively values, protects, and enables the practice of the knowledge creation process for living individuals, leading to the loss of valuable living knowledge and unmet needs in personal and societal well-being.
Innovation Solution
A Living Machine that embodies the knowledge creation process, enabling living individuals to freely share and monetize their knowledge within a democratic, self-governed framework, ensuring the health and well-being of participants and creating an asset class from living knowledge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional machine technology is used, then manufacturing and data processing functions are fulfilled, but living knowledge creation and valuation are not supported
Solution Approach 1:
The Living Machine is designed as a multi-functional system that simultaneously performs knowledge creation, valuation, protection, and distribution functions. It integrates the knowledge creation process framework with economic valuation mechanisms and democratic governance structures into a single unified platform, allowing living individuals to contribute knowledge and receive value returns through the same system infrastructure.
Solution Approach 2:
The Living Machine divides the knowledge creation process into distinct functional components: the knowledge contribution interface, the valuation engine, the protection mechanism, and the distribution system. This segmentation allows each component to be optimized independently while maintaining overall system coherence, reducing the complexity burden of handling all functions in a monolithic structure.
2Productivity
If living knowledge is shared freely, then knowledge creation is encouraged, but knowledge loss and undervaluation occur
Solution Approach 1:
The Living Machine implements a feedback mechanism where living knowledge contributions are systematically valued, recorded, and returned to contributors in the form of value shares. This closed-loop feedback system ensures that knowledge is not lost but rather circulates back to creators and the community, maintaining both the incentive to create and the preservation of knowledge value through continuous recognition and distribution.
3Reliability
If a machine system is created to value and protect knowledge, then knowledge retention improves, but system complexity increases
Solution Approach 1:
The Living Machine employs self-service mechanisms where the system automatically values, protects, and distributes knowledge contributions without requiring external intervention. The valuation engine autonomously assesses knowledge contributions, the protection mechanisms automatically safeguard intellectual property rights, and the distribution system autonomously allocates value shares, reducing the operational complexity burden while maintaining high reliability in knowledge protection.
4Adaptability or versatility
If democratic self-governance is implemented, then inclusivity and fairness improve, but decision-making efficiency decreases
Solution Approach 1:
The Living Machine introduces an intermediary valuation engine that mediates between democratic governance requirements and decision-making efficiency. This intermediary automatically processes knowledge valuations and generates preliminary recommendations, allowing democratic assemblies to focus on high-level strategic decisions rather than micromanaging every valuation detail, thus maintaining both inclusivity and operational efficiency.
Data Source
AI summary
Living Machine for the Manufacture of Living Knowledge by Living Individuals through the practice of the Living Knowledge Creation Process in Living Knowledge Creation Process Cycles where Living Knowledge Economics operates.