TriadicFrameworks
Overview

substrate_communications

Message Types

Minimal structural formats for Substrate Communications.

1. STATE_SUMMARY#

Describes drift against an invariant.

msg_type: STATE_SUMMARY
asset_id: <string>
invariant_id: <string>
time_window: { start: <t0>, end: <t1> }
max_drift: <float>
status: within_bounds | approaching_limit | out_of_bounds

2. PARADOX_SUMMARY#

Describes contradictory or incompatible signals.

msg_type: PARADOX_SUMMARY
asset_id: <string>
paradox_id: <string>
invariant_id: <string>
hypotheses:
  - { source: <string>, value: <any> }
  - { source: <string>, value: <any> }
evidence: [<string>, ...]
timestamp: <t>

These two message types are sufficient to reconstruct structural behavior across a mesh. # Substrate Communications
A minimal structural framework for drift‑aware, paradox‑preserving messaging across heterogeneous systems.

This directory contains the canonical, self‑contained materials for Substrate Communications, a minimal message grammar designed for systems operating under:

  • low bandwidth
  • high latency
  • intermittent connectivity
  • heterogeneous hardware
  • long‑term drift

Substrate Communications does not transmit raw telemetry.
It transmits structural summaries that preserve invariants, drift, and paradox.

Contents#

  • substrate_comms_core.md — core concepts and framing
  • message_types.md — minimal message formats
  • regime_mapping.md — triadic interpretation across scales
  • citation.cff — citation metadata
  • zenodo.json — DOI metadata

All files are intentionally minimal and version‑stable.

For a narrative example, see the exploratory write‑up in docs/_ideas/0_Substrate_Communications.md

Contributor Onboarding (Minimal)#

This directory contains the canonical, minimal definition of Substrate Communications.
To keep the structure stable:

  • keep additions conceptual, not implementation‑specific
  • avoid adding domain‑specific examples directly to this folder
  • place applied or extended use‑cases in separate directories
  • preserve the minimal message types and triadic mapping
  • do not expand the grammar beyond what is defined here

This folder anchors the core substrate‑comms grammar.
Extensions should build outward, not modify the core. # Regime Mapping
How Substrate Communications aligns with triadic interpretation.

Substrate Communications maps directly onto the triadic regime model:

1. BEING (B)#

  • invariants
  • baseline expectations
  • structural identity
  • root‑layer coherence

2. KNOWING (K)#

  • drift evaluation
  • paradox detection
  • adaptive interpretation
  • local reasoning

3. MEANING (M)#

  • mesh‑level coherence
  • emergent signatures
  • regime classification
  • long‑arc structural behavior

This mapping is scale‑invariant and applies to:

  • industrial systems
  • ecological systems
  • cognitive systems
  • planetary systems
  • deep‑space systems

The grammar remains constant; only the substrate changes. # Substrate Communications — Core Concepts
Version 1.0.0

1. Purpose#

Substrate Communications defines a minimal, structural messaging layer for systems that cannot rely on continuous, high‑bandwidth telemetry. Instead of streaming raw data, assets emit summaries that describe:

  • drift against invariants
  • paradox between signals
  • coherence across a mesh

This enables long‑range, low‑bandwidth, substrate‑aware communication.

2. Assets and Invariants#

An asset is any monitored entity:

  • industrial device
  • ecological node
  • spacecraft subsystem
  • planetary region

An invariant is a structural expectation (e.g., temperature band, nutrient flux, radiation range).
Drift is evaluated relative to invariants.

3. Drift#

Drift is deviation from an invariant over a time window.
It is not failure — it is movement through state space.

Drift is summarized using STATE_SUMMARY messages.

4. Paradox#

A paradox occurs when:

  • sensors disagree
  • models conflict
  • proxies diverge

Paradox is preserved using PARADOX_SUMMARY messages.

5. Mesh‑Level Coherence#

Substrate Communications scales from single assets to meshes:

  • industrial networks
  • forest‑scale ecological meshes
  • multi‑probe deep‑space constellations
  • planetary‑scale sampling regimes

Across a mesh, drift and paradox summaries reveal:

  • stress fronts
  • anomalies
  • coherence patterns
  • life‑regime signatures

The same grammar applies at all scales. 

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