1. Generalized Canonical Templates (Predefined)
These serve as archetypal scaffolds—pre-designed, modular, and extensible patterns that encode the logic of holonic operations. They provide a semantic baseline and structural grammar from which contextual instantiations can emerge.
Purpose:
Establish interoperability across systems Provide starting points for rapid deployment Maintain alignment with Holonic Web ontologies and governance logics Examples:
A base Holonic Governance Model using sociocratic consent loops A generic Resource Reciprocity Protocol with modular funding mechanisms An Organizational Role Mapping Template for nested holons These live in the system as core templates—think of them as pattern grammars or schemas that AI can pull from, adapt, or expand upon.
2. Contextual Template Instantiation (Real-Time, Adaptive)
These are dynamically generated in context, based on:
The specific organization’s structure, needs, maturity, and goals Real-time feedback, role ontologies, and purpose maps Input via the Holonic Dashboard (e.g., need for a governance upgrade, resource model reconfiguration, or new holon formation) Driven by:
Dashboard interaction (e.g., “Deploy a new Holon for R&D with semi-autonomous funding logic”) Agentic reasoning (e.g., NoA recommending a new coordination holon with relevant template) Recommended Architecture:
Summary Answer:
Yes, you should create generalized templates ahead of time to ensure interoperability, speed, and coherence across networks. But real value emerges when these templates are adapted in real-time—in response to emergent needs, using the Holonic Intelligence Dashboard as the semantic interface.
Would you like a canonical structure now for the initial Generalized Template Library (e.g., 5–7 templates), and then we can define the real-time generation logic layer that maps to the dashboard UI?