Cross‑Domain Mappings

A unified S/E/R translation layer connecting psychology, biology, physics, economics, governance, and AI#

Cross‑domain mappings define how each domain’s S/E/R expressions correspond to the others.
Where the Regime Coupling Engine describes how regimes propagate, this file describes what maps to what — the dimensional equivalences that make cross‑domain coherence possible.

Mappings are the semantic substrate of the EcoEchoSystem.

Purpose#

Cross‑domain mappings exist to:

• translate S/E/R patterns between domains
• ensure dimensional consistency across the substrate
• enable regime coupling, stability cycles, and transitions
• support multi‑scale simulation and tech‑tree unlocks
• provide a canonical reference for cross‑domain reasoning

Mappings are the dictionary that all domains share.

Mapping Structure#

Each mapping is expressed in three layers:

• S‑Mapping — structural equivalence
• E‑Mapping — activation equivalence
• R‑Mapping — temporal equivalence

Mappings are bidirectional and symmetrical unless otherwise noted.

1. Psychology ↔ Biology#

S‑Mapping#

• neural structure ↔ organismal structure
• sensory systems ↔ environmental interfaces
• identity architecture ↔ genetic/physiological architecture

E‑Mapping#

• emotional activation ↔ metabolic activation
• stress ↔ physiological stress
• cognitive load ↔ metabolic demand

R‑Mapping#

• identity arcs ↔ developmental arcs
• emotional cycles ↔ life‑cycle rhythms
• long‑arc psychological development ↔ evolutionary time

2. Psychology ↔ Economics#

S‑Mapping#

• cognitive schemas ↔ market structures
• identity networks ↔ economic networks

E‑Mapping#

• emotional volatility ↔ market volatility
• stress ↔ scarcity pressure

R‑Mapping#

• identity cycles ↔ boom–bust cycles
• developmental arcs ↔ long‑arc economic trends

3. Psychology ↔ Governance#

S‑Mapping#

• identity architecture ↔ institutional architecture
• cognitive coherence ↔ legitimacy coherence

E‑Mapping#

• emotional activation ↔ legitimacy pressure
• stress ↔ institutional strain

R‑Mapping#

• identity development ↔ historical arcs
• emotional cycles ↔ governance cycles

4. Biology ↔ Economics#

S‑Mapping#

• ecological networks ↔ market networks
• trophic layers ↔ economic tiers

E‑Mapping#

• metabolic activation ↔ resource flow intensity
• stress ↔ scarcity

R‑Mapping#

• ecological succession ↔ economic cycles
• evolutionary arcs ↔ long‑arc economic development

5. Biology ↔ Governance#

S‑Mapping#

• population structure ↔ institutional structure
• ecological architecture ↔ governance architecture

E‑Mapping#

• biological stress ↔ legitimacy pressure
• ecological activation ↔ policy activation

R‑Mapping#

• ecological cycles ↔ governance cycles
• evolutionary time ↔ historical time

6. Biology ↔ Physics#

S‑Mapping#

• organismal morphology ↔ physical structure
• ecological architecture ↔ environmental architecture

E‑Mapping#

• metabolic energy ↔ physical energy
• stress ↔ environmental forcing

R‑Mapping#

• life cycles ↔ climate cycles
• evolutionary arcs ↔ geophysical arcs

7. Economics ↔ Governance#

S‑Mapping#

• market structure ↔ institutional structure
• resource networks ↔ administrative networks

E‑Mapping#

• volatility ↔ legitimacy pressure
• scarcity ↔ policy activation

R‑Mapping#

• economic cycles ↔ governance cycles
• long‑arc growth ↔ long‑arc institutional development

8. Economics ↔ Physics#

S‑Mapping#

• resource networks ↔ energy distribution networks
• market architecture ↔ physical constraints

E‑Mapping#

• scarcity ↔ energy limits
• volatility ↔ environmental forcing

R‑Mapping#

• economic cycles ↔ climate cycles
• long‑arc economic trends ↔ long‑arc physical rhythms

9. Governance ↔ Physics#

S‑Mapping#

• institutional architecture ↔ environmental architecture
• governance boundaries ↔ physical boundaries

E‑Mapping#

• legitimacy pressure ↔ environmental stress
• policy activation ↔ energy activation

R‑Mapping#

• governance cycles ↔ climate cycles
• historical arcs ↔ geophysical arcs

10. AI Agents ↔ All Domains#

AI maps to every domain through its triadic substrate:

S‑Mapping#

• agent architecture ↔ structural identity in all domains

E‑Mapping#

• learning activation ↔ activation patterns everywhere

R‑Mapping#

• developmental trajectories ↔ long‑arc temporal patterns

AI is the universal coupling amplifier.

Cross‑Domain Mapping Patterns#

The EcoEchoSystem recognizes several canonical mapping patterns:

• Direct equivalence — one domain’s S/E/R maps cleanly to another
• Analogical mapping — similar patterns expressed differently
• Resonant mapping — patterns amplify each other
• Inverted mapping — one domain’s stability corresponds to another’s volatility
• Hierarchical mapping — one domain’s micro‑pattern maps to another’s macro‑pattern

These patterns allow the substrate to maintain coherence across scales.

Status#

This file defines the canonical cross‑domain mappings for the EcoEchoSystem.
Additional mappings may be added as new domains or sub‑domains emerge.