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.