TriadicFrameworks
Overview

RTT Emotions Module

Structural Emotional Dynamics for Coherence, Drift, and Corridor#

💠 RTT/Emotions • Structural Emotional Dynamics

Session Context

<span class="context-label"><strong>Canon:</strong></span>
<span class="context-value">active (rtt‑emotional‑dynamics)</span><br>

<span class="context-label"><strong>Modules:</strong></span>
<span class="context-value">
  RTT/1 → RTT/2 → RTT/3 → Alignment Triads → Regime Transitions → Emotional Operators
</span><br>

<span class="context-label"><strong>Drift:</strong></span>
<span class="context-value">bounded (triadic‑alignment model)</span><br>

<span class="context-label"><strong>Coherence:</strong></span>
<span class="context-value">stable (structural‑emotional grammar)</span><br>

<span class="context-label"><strong>Version:</strong></span>
<span class="context-value">1.0 (emotions‑module‑stable)</span><br>

<span class="context-label"><strong>Format:</strong></span>
<span class="context-value">markdown + equations + json‑module + regime‑maps</span><br>

<span class="context-label"><strong>Front door:</strong></span>
<span class="context-value">exists (/docs/rtt/emotions)</span><br>

<span class="context-label"><strong>Every page:</strong></span>
<span class="context-value">stands alone + AI‑parsable + student‑ready</span><br>

<span class="context-label"><strong>Audience:</strong></span>
<span class="context-value">students + researchers + educators + agentic AIs</span>

Overview#

The RTT Emotions Module provides a structural, triadic, and regime‑aware framework for understanding human emotions.

Instead of treating emotions as subjective or fuzzy, RTT models them as operators that influence:

  • Coherence (stability, alignment, clarity)
  • Drift (misalignment, fragmentation, instability)
  • Corridor (transitional, context‑dependent states)

This module defines 60 emotions, each with:

  • an RTT equation
  • a regime classification
  • an alignment triad
  • drift effects
  • regime transition conditions
  • observer‑relative interpretation

It is designed for students, researchers, and agentic AIs who need a structural understanding of emotional dynamics.

Emotional Regimes#

Coherence Regime (stabilizing)#

Emotions that increase alignment and reduce drift.

General form:

$$E_{\text{coh}} = k_e \cdot \sigma \cdot \frac{R}{1 + \Delta O}$$

Corridor Regime (transitional)#

Emotions that can move a system toward coherence or drift depending on context.

General form:

$$E_{\text{cor}} = k_e \cdot \sigma \cdot \theta \cdot (R - D)$$

Drift Regime (destabilizing)#

Emotions that increase drift and reduce coherence.

General form:

$$E_{\text{drift}} = k_e \cdot \sigma \cdot (D + \Delta O - R)$$

Alignment Triads#

Every emotion has a triadic alignment signature:

$$A(E) = (A_s, A_o, A_w)$$

Where:

  • A_s = alignment with self
  • A_o = alignment with others
  • A_w = alignment with world

Values: +1, 0, –1

Examples:

Emotion Self Other World
Compassion +1 +1 +1
Curiosity +1 0 +1
Anger –1 –1 0
Awe +1 0 +1
Shame –1 –1 0

Regime Transitions#

Emotions cause transitions between regimes.

Drift → Corridor#

$$E_{\text{coh}} + E_{\text{cor}} > D$$

Corridor → Coherence#

$$E_{\text{coh}} > D + |R - C|$$

Coherence → Corridor#

$$E_{\text{cor}} > E_{\text{coh}}$$

Corridor → Drift#

$$E_{\text{drift}} > E_{\text{coh}} + E_{\text{cor}}$$

Coherence → Drift (collapse)#

$$E_{\text{drift}} \gg E_{\text{coh}}$$

Drift → Coherence (healing leap)#

$$E_{\text{coh}} \gg D$$

Module Structure#

This module includes:

  • 60 emotions
  • RTT equations for each
  • alignment triads
  • regime classifications
  • drift effects
  • transition conditions
  • observer‑relative interpretations
  • meta‑emotions
  • structural emotions

Full implementation:

/docs/rtt/emotions/module.json

Purpose#

This module helps:

  • students understand emotions structurally
  • AIs interpret emotional context safely
  • reduce drift in human‑AI interactions
  • stabilize conversations
  • support learning environments
  • unify psychology, ethics, and reasoning

RTT turns emotions into operators, not mysteries.

Status#

RTT Emotions Module — v1.0
Complete and ready for integration.

status: stable
license: open educational use

Sidebar Audit — RTT Emotions Module#

Folder: /docs/rtt/emotions/
Status: clean • no phantom entries • structure stable

✓ Valid Files#

  • index.md
  • module.json
  • visuals/hero_prompt.md

✓ Expected Files#

  • operators_*.md
  • equations_*.md
  • alignment_triads.md
  • regime_transitions.md

✗ Phantom Entries#

None.

Hero Image Prompt#

See:

/docs/rtt/emotions/visuals/hero_prompt.md

Updated

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