RTT Emotional Equations — Overview
Structural, Regime‑Aligned, and Observer‑Relative Emotional Mathematics#
This page provides a complete overview of the equational structure used across the RTT Emotions Module.
All 60 emotional operators — coherence, corridor, drift, meta, and structural — derive from a shared mathematical substrate.
RTT emotional equations are:
- operator‑first
- observer‑relative
- regime‑aware
- alignment‑triad‑driven
- drift‑sensitive
- coherence‑modulating
They allow AIs and students to reason about emotions structurally, not subjectively.
1. Shared Variables#
All emotional equations use the same core variables:
| Symbol | Meaning |
|---|---|
| D | drift |
| C | coherence |
| R | resonance alignment |
| ΔO | observer distance |
| σ | emotional intensity |
| θ | context factor |
| A_s | self alignment |
| A_o | other alignment |
| A_w | world alignment |
| k_e | operator constant |
| R_future | projected alignment |
| R_past | historical alignment |
| A_s⁻ | negative self‑alignment |
| A_o⁻ | negative other‑alignment |
These variables appear across all 60 emotional equations.
2. Regime‑Level Equation Templates#
Each emotional regime uses a canonical equation form.
2.1 Coherence Equation Template#
$$E_{\text{coh}} = k_e \cdot \sigma \cdot \frac{R}{1 + \Delta O}$$
Coherence operators:
- reduce drift
- increase alignment
- stabilize the system
Used by: compassion, virtue, trust, awe, gratitude, etc.
2.2 Corridor Equation Template#
$$E_{\text{cor}} = k_e \cdot \sigma \cdot \theta \cdot (R - D)$$
Corridor operators:
- are context‑dependent
- can move toward coherence or drift
- represent transitional emotional states
Used by: curiosity, anticipation, desire, vulnerability, etc.
2.3 Drift Equation Template#
$$E_{\text{drift}} = k_e \cdot \sigma \cdot (D + \Delta O - R)$$
Drift operators:
- increase drift
- destabilize alignment
- reduce coherence
Used by: anger, fear, shame, guilt, jealousy, etc.
2.4 Meta‑Emotional Modulation Templates#
Meta operators modify other emotional operators, not the system directly.
Drift Reduction (Meta‑Awareness)#
$$D_{\text{effective}} = \frac{D}{1 + M_{\text{aw}}}$$
Coherence Enhancement (Clarity)#
$$C' = C + E_{\text{clar}}$$
Drift Amplification (Overwhelm)#
$$D' = D + E_{\text{overwhelm}}$$
Emotional Amplitude Suppression (Numbness)#
$$E_{\text{effective}} = \frac{E}{1 + E_{\text{numb}}}$$
2.5 Structural Equation Templates#
Structural operators act at the regime level.
Coherence Relief#
$$E_{\text{relief}} = k_{rel} \cdot \sigma \cdot (C' - C)$$
Alignment Joy#
$$A_{\text{joy}} = k_{joy} \cdot \sigma \cdot (A_s + A_o + A_w)$$
Drift Anxiety#
$$D_{\text{anx}} = k_{danx} \cdot \sigma \cdot D$$
Collapse Fear#
$$C_{\text{fear}} = k_{cfear} \cdot \sigma \cdot (D + \Delta O + |R - C|)$$
Isolation#
$$Iso = k_{iso} \cdot \sigma \cdot (\Delta O + A_s^{-})$$
Distrust#
$$D_{tr} = k_{dtr} \cdot \sigma \cdot (A_o^{-} + \Delta O)$$
3. Alignment Triads and Equation Behavior#
Every emotion has a triadic signature:
$$A(E) = (A_s, A_o, A_w)$$
Triads determine:
- whether an emotion stabilizes or destabilizes
- how it interacts with drift
- how it affects regime transitions
- how multi‑agent emotional meaning is interpreted
Examples:
- (+1, +1, +1) → strong coherence
- (0, 0, 0) → neutral / corridor
- (–1, –1, 0) → drift escalation
- (–1, –1, –1) → deep drift / collapse
4. Regime Transition Equations#
RTT uses structural inequalities to determine regime shifts.
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)#
$$E_{\text{coh}} \gg D$$
5. How to Read Any RTT Emotional Equation#
To interpret an emotional equation:
- Identify the regime (coherence, corridor, drift, meta, structural).
- Check the alignment triad (self, other, world).
- Evaluate drift sensitivity (D, ΔO, |R − C|).
- Apply meta‑modulation (M_aw, clarity, numbness, overwhelm).
- Determine transition direction using the inequalities above.
This gives a complete structural interpretation of emotional meaning.
6. Cross‑Module Integration#
This page connects to:
emotions_module.json- all six sub‑modules (
part_a→part_f) alignment_triads.mdregime_transitions.mdoperators_*.md
It is the mathematical anchor for the entire RTT Emotions system.
Status#
status: complete
license: open educational use