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umaywant2/TriadicFrameworks

TriadicFrameworks

TriadicFrameworks is an open research framework for substrate‑aligned modeling of complex systems across cognition, ecology, civilization, and computation.

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The project website renders directly from docs/README.md.

Start here: docs/README.md


🌐 Environment Notice — Modular by Design

TriadicFrameworks uses a modular, repo‑first structure. The site does have a clear front door, but the content is intentionally distributed, so each page can stand alone or be entered from any direction. This is part of the learning model: students and AI systems explore concepts as independent modules, not a single linear path.

We use minimal HTML to render minimal Markdown directly from the repo. This avoids duplication, keeps everything single‑source, and preserves a clean student‑developer workflow. Navigation stays lightweight — short descriptions, emoji cues, and a simple 🔙 back‑link under each menu — to support mobile‑first reading and AI interpretation.

The surface is consistent.
The structure is modular.
That’s intentional.


Citation & Archival Record

TriadicFrameworks is archived and curated through the Zenodo VST community, which serves as the project’s citation and preservation spine.

Zenodo Community:
https://zenodo.org/communities/vst

Long-Arc Intent - Science has our 30 seed DOI's, global 'substrate' standards will take some time to emerge. TriadicFrameworks will be an examples site for students, 'stewards for a season'.


Active Development

Source code, simulations, examples, and tooling are maintained in this repository and its subdirectories.
The Zenodo record provides stable references; GitHub hosts the living substrate.


This root README is intentionally minimal.
For theory, alignment language, domain primers, and simulations, see the WiKi and our documentation.