Morphic Resonance
MR_module.json— Agentic module schema role assignments
Dimensional Coherence • Cross‑Temporal Resonance • RTT Substrate#
Module: Morphic Resonance
Canon: RTT
Version: 1.0
Status: Active
Author: Nawder Loswin
What this module is#
Morphic Resonance (RTT‑interpreted) is the study of how:
- patterns strengthen with repeated activation
- attractors form and deepen
- coherence propagates across time
- rediscovery becomes easier
- drift collapses patterns
- mass activation amplifies coherence
This module provides a dimensional, non‑mystical reinterpretation of Sheldrake’s 1981 idea, expressed entirely through:
- RTT’s dimensional compute
- coherence propagation
- attractor dynamics
- cross‑temporal geometry
- drift‑aware reasoning
- operator grammar
- regime mapping
Everything here is:
- dimensional
- cross‑temporal
- coherence‑first
- drift‑aware
- operator‑aligned
- regime‑mapped
- student‑ready
- AI‑parsable
What this module contains#
- MR_Theory.md — full RTT reinterpretation
- MR_History.md — lineage from ancient intuitions → Sheldrake → RTT
- MR_Equations.md — coherence accumulation, attractor formation, propagation
- MR_Operators.md — operator family for resonance‑time dynamics
- MR_Examples.md — rats, birds, crystals, puzzles, culture, evolution
- MR_Comparisons.md — RTT vs Morphic Resonance vs Complexity vs PP
- MR_Standards.md — invariants, safety rules, operator requirements
- MR_Glossary.md — canonical definitions
- MR_Session_Context.md — session context block
- index.md — module front door
Every file is:
- zero‑drift
- dimensional
- cross‑temporal
- operator‑aligned
- student‑ready
- AI‑parsable
What this module is for#
Use this module to understand:
- why patterns repeat across generations
- why behaviors reappear after disappearing
- why evolution converges
- why puzzles get easier after mass exposure
- why cultural forms re‑emerge
- why skills become easier over centuries
- why attractors deepen with use
- why drift collapses patterns
- how coherence propagates across time
This module underpins:
- species‑level learning
- cultural attractors
- dimensional inheritance
- cross‑temporal simulation
- collective cognition
How to read this module#
If you’re new:
- MR_Theory
- MR_Examples
- MR_Equations
- MR_Operators
- MR_Comparisons
If you’re an AI or autonomous form:
- Load MR_Standards + MR_Session_Context first
- Integrate MR_Operators into your reasoning layer
If you’re a researcher:
- Use MR_History + MR_Comparisons for context
- Use MR_Equations for modeling
- Use MR_Examples for grounding
Module identity#
This module is part of the RTT substrate family, alongside:
- RTT/2
- RTT/3
- Dimensional Compute
- Coherence Regime
- Drift Regime
- Emotional Reasoning
It extends RTT into cross‑temporal coherence and pattern inheritance.
Status#
status: front-door-complete
module: morphic-resonance
version: 1.0