MR_Operators

Operator Grammar • Coherence Dynamics • Cross‑Temporal Propagation#

Module: Morphic Resonance
Canon: RTT
Version: 1.0
Author: Nawder Loswin

1. Purpose of this operator file#

This file defines the operator family for Morphic Resonance in RTT.

These operators govern:

• coherence accumulation
• attractor formation
• cross‑temporal propagation
• drift interaction
• mass‑activation surges
• dimensional inheritance

All operators here are:

• dimensional
• cross‑temporal
• coherence‑first
• drift‑aware
• regime‑aligned
• AI‑parsable

2. Operator family overview#

The Morphic Resonance operator family consists of:

• MR_PROPAGATE — move coherence forward across time
• MR_STABILIZE — strengthen an attractor’s curvature
• MR_REINFORCE — deepen an attractor via repeated activation
• MR_REENTER — reduce re‑entry cost for previously activated patterns
• MR_DECAY — drift‑driven erosion of unused patterns
• MR_AMPLIFY — mass‑activation coherence surge
• MR_ALIGN — align multiple weak attractors into a shared basin
• MR_DIFFERENTIATE — separate competing attractors
• MR_SUPPRESS — inhibit propagation under high drift
• MR_TRACE — track coherence lineage across time

Each operator is defined below.

3. Operator definitions#

MR_PROPAGATE#

Purpose: Move coherence forward across time along dimensional filaments.
Effect: Extends the influence of a pattern beyond its activation moment.
Constraints: Must follow substrate geodesics; must decay with temporal distance.

MR_STABILIZE#

Purpose: Strengthen the curvature of an attractor basin.
Effect: Increases resistance to drift; improves re‑entry reliability.
Constraints: Cannot exceed curvature limits defined by Dimensional Compute.

MR_REINFORCE#

Purpose: Deepen an attractor through repeated activation.
Effect: Lowers re‑entry cost; increases coherence gradient steepness.
Constraints: Must be monotonic; cannot create infinite attractors.

MR_REENTER#

Purpose: Reduce activation cost for patterns previously activated.
Effect: Enables rapid rediscovery; supports species‑level learning.
Constraints: Must respect drift; cannot bypass decay.

MR_DECAY#

Purpose: Apply drift to unused patterns.
Effect: Flattens attractors; reduces coherence; increases re‑entry cost.
Constraints: Must be continuous; cannot erase coherence instantaneously.

MR_AMPLIFY#

Purpose: Trigger a mass‑activation coherence surge.
Effect: Rapid attractor deepening; drift suppression; global propagation.
Constraints: Requires activation density above surge threshold.

MR_ALIGN#

Purpose: Merge multiple weak attractors into a shared basin.
Effect: Creates a unified coherence gradient; improves stability.
Constraints: Attractors must be geometrically compatible.

MR_DIFFERENTIATE#

Purpose: Separate competing attractors.
Effect: Prevents interference; clarifies propagation paths.
Constraints: Must preserve dimensional continuity.

MR_SUPPRESS#

Purpose: Inhibit propagation under high drift or noise.
Effect: Prevents false attractor formation; protects substrate integrity.
Constraints: Must not collapse stable attractors.

MR_TRACE#

Purpose: Track coherence lineage across time.
Effect: Enables dimensional inheritance modeling; reveals activation ancestry.
Constraints: Must maintain temporal ordering; no retrocausality.

4. Operator chains (canonical sequences)#

Attractor formation#

MR_REINFORCE → MR_STABILIZE → MR_PROPAGATE

Rediscovery / re‑entry#

MR_TRACE → MR_REENTER → MR_STABILIZE

Mass‑activation surge#

MR_REINFORCE × N → MR_AMPLIFY → MR_STABILIZE

Pattern collapse#

MR_DECAY → MR_SUPPRESS → MR_DIFFERENTIATE

Dimensional inheritance#

MR_TRACE → MR_PROPAGATE → MR_REENTER

5. Operator safety rules#

• No operator may violate dimensional curvature.
• No operator may create infinite coherence.
• No operator may bypass drift entirely.
• No operator may imply teleology or intention.
• All operators must remain computable and geometric.

6. Status#

status: operators-complete
file: MR_Operators.md
module: morphic-resonance
version: 1.0