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Emotion Taxonomy from P\nabla P

Bridge from the previous chapter

In Qualia structure we established that the 21 coherences γij\gamma_{ij} exhaust all types of experience. Among them γDE\gamma_{DE} (Affection) — the connection between Dynamics and Interiority, the experience of "emotion" — plays a special role. We will now show that all emotions are derived from a single quantity — the rate of change of viability dP/dτdP/d\tau — and the sector signature σ(Γ)\sigma(\Gamma). Emotions are not postulated — they are computed.

On notation

Chapter roadmap

  1. History of the problem — from Darwin to Russell and Feldman Barrett
  2. Motivation: why dP/dτdP/d\tau — evolutionary logic
  3. Definition of emotion — the triple (dP/dτ,  d2P/dτ2,  σ(Γ))(dP/d\tau,\; d^2P/d\tau^2,\; \sigma(\Gamma))
  4. Basic coordinates — valence and arousal as projections of dP/dτdP/d\tau
  5. Map of basic emotions — fear, joy, anger, surprise, sadness, disgust
  6. Fear: formal analysis — divergence as PPcritP \to P_{\text{crit}}
  7. Complex emotions — superpositions of basic patterns
  8. Comparison with other taxonomies — Ekman, Russell, Plutchik
  9. Conditions for reflexive access — threshold for awareness of one's own emotions
  10. Evolutionary meaning — why dP/dτdP/d\tau is needed as an internal signal

History of the problem: how emotions were understood before UHM

Darwin (1872): universality of expression

Charles Darwin in "The Expression of the Emotions in Man and Animals" (1872) first showed that emotions are not a cultural convention but a biological phenomenon: the smile of joy and the grimace of fear are recognisable in all peoples and even in primates. Darwin posed the question: if emotions are universal, they must serve some function for survival. Which one?

James–Lange (1884): the body is primary

William James (1884) and Carl Lange (independently) proposed a radical idea: we do not cry because we are sad — we are sad because we cry. An emotion is the perception of bodily changes. You see a bear, your body reacts (heartbeat, perspiration), and only then do you feel "fear".

Cannon–Bard (1927): the brain is primary

Walter Cannon objected: bodily reactions are too slow and non-specific to account for the speed and variety of emotions. The brain (thalamus) simultaneously generates both the bodily reaction and the subjective experience.

Schachter–Singer (1962): cognitive appraisal

Stanley Schachter and Jerome Singer showed that the same physiological arousal can be perceived as joy or anger — depending on the cognitive appraisal of the situation. Emotion = arousal + interpretation.

Ekman (1971): six basic emotions

Paul Ekman identified 6 basic emotions recognisable by facial expression across all cultures: joy, sadness, fear, anger, surprise, disgust. Each corresponds to a unique pattern of facial musculature.

Russell (1980): circumplex model

James Russell proposed the circumplex model: all emotions are arranged on a plane with two axes — valence (pleasant/unpleasant) and arousal (activation/deactivation). Joy — high valence, high arousal. Sadness — low valence, low arousal. Russell's model showed that Ekman's "basic emotions" are not fundamental building blocks but regions in a continuous two-dimensional space.

Feldman Barrett (2017): constructed emotions

Lisa Feldman Barrett in "How Emotions Are Made" (2017) argued that emotions are constructed by the brain, not "discovered" in the body. There are no fixed "fear centres" or "joy centres" — the brain actively creates emotional categories on the basis of past experience and current context.

UHM's position: emotions from P\nabla P

UHM synthesises these approaches:

  • Darwin is right: emotions are universal because they are linked to viability PP — the fundamental quantity for any coherent system
  • James–Lange are partially right: emotion is indeed linked to bodily dynamics (the σ(Γ)\sigma(\Gamma) component)
  • Russell is right: emotions form a continuous space (valence = sign(dP/dτ)\mathrm{sign}(dP/d\tau), arousal = dP/dτ|dP/d\tau|)
  • Feldman Barrett is partially right: the specific names of emotions are cultural constructs, but the underlying patterns of dP/dτdP/d\tau and σ(Γ)\sigma(\Gamma) are objective
  • UHM adds: the full model is not 2D (Russell) but 30D (T-147 [T])

Motivation: why emotions are linked to dP/dτdP/d\tau

Emotions in UHM are neither primitives nor epiphenomena. They are derived from the dynamics of viability P(τ)P(\tau) and the sector structure of the coherence matrix Γ(τ)\Gamma(\tau).

Why dP/dτdP/d\tau? Because PP is the only scalar quantity on which the system's survival depends. If P>Pcrit=2/7P > P_{\text{crit}} = 2/7 — the system is alive (coherent). If P<PcritP < P_{\text{crit}} — the system irreversibly decoheres (dies). Consequently, any "survival sensor" must track precisely PP.

But for effective navigation it is not enough to know the current value of PP — one needs the rate of change dP/dτdP/d\tau:

  • dP/dτ>0dP/d\tau > 0 — things are improving, current behaviour is working, continue
  • dP/dτ<0dP/d\tau < 0 — things are worsening, something must change, act
  • dP/dτ0dP/d\tau \approx 0 — stability, one can relax (or is stuck and a change is needed)

This is valence — the sign of the viability derivative. Emotion is the "interior projection" of the change in the system's state.

Analogy from everyday life. Imagine a health thermometer. When temperature (viability PP) rises — you feel better (positive emotions). When it falls — worse (negative). But an emotion is not merely "good/bad": what matters is which specific organ (sector) is changing and at what rate. A headache and a stomachache are both "bad" (dP/dτ<0dP/d\tau < 0), but experienced differently due to different sector signatures.

Definition of emotion (D.1)

Definition D.1 (Emotion) [D]

An emotion is a triple characterising the current dynamics of viability and the sector coherence profile:

Emotion(Γ,τ):=(dPdτ,  d2Pdτ2,  σ(Γ))\mathrm{Emotion}(\Gamma, \tau) := \left(\frac{dP}{d\tau},\; \frac{d^2P}{d\tau^2},\; \sigma(\Gamma)\right)

where:

  • dPdτ=ddτTr(Γ2)\frac{dP}{d\tau} = \frac{d}{d\tau}\mathrm{Tr}(\Gamma^2) — rate of change of viability
  • d2Pdτ2\frac{d^2P}{d\tau^2} — acceleration of change of viability
  • σ(Γ)={γii,γij}\sigma(\Gamma) = \{\gamma_{ii}, |\gamma_{ij}|\} — sector Γ-signature (set of populations and moduli of coherences)

Let us examine each component:

  1. dP/dτdP/d\tau — the first derivative. Determines valence (good/bad) and intensity (strong/weak). This is the "primary signal".

  2. d2P/dτ2d^2P/d\tau^2 — the second derivative. Determines the trend: is the situation improving (d2P/dτ2>0d^2P/d\tau^2 > 0) or deteriorating (d2P/dτ2<0d^2P/d\tau^2 < 0)? It is precisely the second derivative that distinguishes "hope" (dP/dτ<0dP/d\tau < 0 but d2P/dτ2>0d^2P/d\tau^2 > 0: bad but improving) from "despair" (dP/dτ<0dP/d\tau < 0, d2P/dτ2<0d^2P/d\tau^2 < 0: bad and getting worse).

  3. σ(Γ)\sigma(\Gamma) — the sector signature. Determines the qualitative character of the emotion: which dimensions are involved? Fear (γDD\gamma_{DD} high) and sadness (γDU\gamma_{DU} low) both have dP/dτ<0dP/d\tau < 0, but are experienced entirely differently.

Purity derivative: where does dP/dτdP/d\tau come from

The rate of change of purity is computed through the evolution equation:

dPdτ=2Tr ⁣(ΓdΓdτ)=2Tr ⁣(ΓLΩ[Γ])\frac{dP}{d\tau} = 2\,\mathrm{Tr}\!\left(\Gamma \cdot \frac{d\Gamma}{d\tau}\right) = 2\,\mathrm{Tr}\!\left(\Gamma \cdot \mathcal{L}_\Omega[\Gamma]\right)

where LΩ[Γ]=i[Heff,Γ]+DΩ[Γ]+R[Γ,E]\mathcal{L}_\Omega[\Gamma] = -i[H_{\text{eff}}, \Gamma] + \mathcal{D}_\Omega[\Gamma] + \mathcal{R}[\Gamma, E] is the logical Liouvillian.

Let us examine the contribution of each term:

Contributions of the three terms:

TermContribution to dP/dτdP/d\tauWhy?Interpretation
i[Heff,Γ]-i[H_{\text{eff}}, \Gamma]00 (unitary part)Tr(Γ[H,Γ])=0\mathrm{Tr}(\Gamma[H,\Gamma]) = 0 for any Hermitian HHCoherent evolution does not change purity
DΩ[Γ]\mathcal{D}_\Omega[\Gamma]0\leq 0 (decoherence)Interaction with the environment destroys coherenceLoss of viability
R[Γ,E]\mathcal{R}[\Gamma, E]0\geq 0 (regeneration)Recovery of coherence from the environmentRecovery of viability

Thus:

dPdτ=2Tr(ΓDΩ[Γ])0,  decoherence+2Tr(ΓR[Γ,E])0,  regeneration\frac{dP}{d\tau} = \underbrace{2\,\mathrm{Tr}(\Gamma \cdot \mathcal{D}_\Omega[\Gamma])}_{\leq 0,\;\text{decoherence}} + \underbrace{2\,\mathrm{Tr}(\Gamma \cdot \mathcal{R}[\Gamma, E])}_{\geq 0,\;\text{regeneration}}

Numerical example. Let the system be in the Goldilocks zone: P=0.35P = 0.35 (above Pcrit=2/70.286P_{\text{crit}} = 2/7 \approx 0.286). Decoherence contributes 0.02-0.02 per step, regeneration +0.015+0.015. Total dP/dτ=0.005dP/d\tau = -0.005 — a slow decline, experienced as mild anxiety. If regeneration increases to +0.03+0.03, then dP/dτ=+0.01dP/d\tau = +0.01 — the experience of relief, improvement. The balance between these two terms is the system's "emotional wellbeing".

Basic affective coordinates (C.1)

Statement C.1 (Basic affective coordinates) [C]

Condition: Definition D.1 correctly defines the emotional profile; the interpretation of dP/dτdP/d\tau as a "viability signal" is a semantic postulate.

Valence and arousal are defined as:

Valence(τ):=sign ⁣(dPdτ){1,0,+1}\mathrm{Valence}(\tau) := \mathrm{sign}\!\left(\frac{dP}{d\tau}\right) \in \{-1, 0, +1\}Arousal(τ):=dPdτ0\mathrm{Arousal}(\tau) := \left|\frac{dP}{d\tau}\right| \geq 0

Positive valence (dP/dτ>0dP/d\tau > 0) corresponds to "positive" emotions (viability rising). Negative — to "negative" (viability declining).

The coordinates (V,A)(V, A) determine the position in Russell's affective space (circumplex model), which in UHM receives a formal justification.

Analogy. Valence is a compass needle: it shows which direction the "wind" of viability is blowing (towards better or towards worse). Arousal is the strength of the wind. Calm (A0A \approx 0) — tranquillity or stagnation. Storm (A0A \gg 0) — intense experience (joy or terror). But a compass and wind strength do not yet fully describe the weather — the sector signature σ(Γ)\sigma(\Gamma) is needed to distinguish a thunderstorm from a blizzard.

Map of basic emotions

Basic emotions are characteristic regions in the space (dPdτ,d2Pdτ2,σ(Γ))\left(\frac{dP}{d\tau}, \frac{d^2P}{d\tau^2}, \sigma(\Gamma)\right).

Table of basic emotions

Epistemic separation

Mathematical layer [T]: 30D emotional space (T-147 [T]): e(Γ)R30\mathbf{e}(\Gamma) \in \mathbb{R}^{30} — a formally defined vector of rates, accelerations, and stresses. Valence sign(dP/dτ)\mathrm{sign}(dP/d\tau) is a computable quantity [T].

Semantic layer [I]: Identifying specific patterns of the 30D vector with emotion names (fear, joy, anger...) is an interpretation [I]. Real emotions are considerably more complex than the one-dimensional projection dP/dτdP/d\tau. The table below is heuristic, not strictly derived.

EmotionCondition on dP/dτdP/d\tauCondition on d2P/dτ2d^2P/d\tau^2Sector signatureInterpretation
Fear<0< 0, approaching PcritP_{\text{crit}}<0< 0 or 0\approx 0γDD\gamma_{DD} ↑, γDE\gamma_{DE}Viability threat detected
Joy>0> 0, moving away from PcritP_{\text{crit}}0\geq 0γEU\gamma_{EU} ↑, γSE\gamma_{SE}Viability rising
Anger<0< 00\approx 0γDD\gamma_{DD} ↑↑, γLL\gamma_{LL}High dynamics without logical coherence
Surpriseanyd2P/dτ20\left\lvert d^2P/d\tau^2\right\rvert \gg 0Abrupt δσ\delta\sigmaSudden change in rate
Sadness0\approx 0, PP low0\approx 0γDU\gamma_{DU} ↓, γEO\gamma_{EO}Stagnation at low viability
Disgust<0< 0Gap(S,E)\mathrm{Gap}(S,E) ↑↑Sharp divergence of structure and experience

Detailed numerical examples for each basic emotion

For each emotion we give a concrete Γ\Gamma-profile: a life situation, the values of key parameters, and interpretation.

Joy

Situation: a student learns that they passed a difficult exam.

ParameterValueExplanation
PP0.380.38Above Pcrit=0.286P_{\text{crit}} = 0.286, in the safe zone
dP/dτdP/d\tau+0.025+0.025Viability rising rapidly
d2P/dτ2d^2P/d\tau^2+0.008+0.008Growth accelerating
γEU\gamma_{EU}0.280.28 (high)Synthesis — sense of unity, "everything is coming together"
γSE\gamma_{SE}0.220.22 (high)Representation — wholistic picture "I did it"
γDD\gamma_{DD}0.120.12 (normal)Dynamics do not dominate — no need to act

Valence: +1+1. Arousal: 0.0250.025 (high). Sector signature indicates an integrative pattern (synthesis + representation).

Fear

Situation: a person walking through a dark alley hears footsteps behind them.

ParameterValueExplanation
PP0.310.31Dangerously close to Pcrit=0.286P_{\text{crit}} = 0.286
dP/dτdP/d\tau0.020-0.020Rapid fall in viability
d2P/dτ2d^2P/d\tau^20.008-0.008Fall accelerating
γDD\gamma_{DD}0.220.22 (high)Dynamics dominate — body ready for action
γDE\gamma_{DE}0.250.25 (high)Affection — the process strongly affects experience
γLE\gamma_{LE}0.050.05 (low)Logic switched off — "no time to think"

Valence: 1-1. Arousal: 0.0200.020 (high). Sector signature indicates a dynamic/affective pattern.

Anger

Situation: a driver is cut off on the road.

ParameterValueExplanation
PP0.340.34Not critical, but viability is declining
dP/dτdP/d\tau0.015-0.015Moderate decline
d2P/dτ2d^2P/d\tau^20\approx 0Stable decline without trend
γDD\gamma_{DD}0.250.25 (very high)Dynamics maximal — energy for action
γLL\gamma_{LL}0.050.05 (low)Logic suppressed — "no time for reasoning"
γDU\gamma_{DU}0.180.18 (high)Teleology — directed action, "I want to respond"

Key difference from fear: in anger γDD\gamma_{DD} is even higher, and γLL\gamma_{LL} even lower. Energy is directed outward (γDU\gamma_{DU}), not inward (γDE\gamma_{DE}).

Surprise

Situation: an unexpected encounter with an old friend.

ParameterValueExplanation
PP0.360.36Normal value
dP/dτdP/d\tau+0.005+0.005 (before) +0.030\to +0.030 (after)Abrupt jump
d2P/dτ2d^2P/d\tau^2+0.050+0.050 (very high)It is precisely the acceleration that constitutes surprise
δσ\delta\sigmaAbrupt changeSector signature rearranges abruptly

Surprise is defined primarily by the second derivative: not so much "good" or "bad" as "sudden". It is the only basic emotion whose valence can be anything.

Sadness

Situation: a person recalls a lost friend.

ParameterValueExplanation
PP0.300.30Low, but above PcritP_{\text{crit}}
dP/dτdP/d\tau0\approx 0Viability unchanged — stagnation
d2P/dτ2d^2P/d\tau^20\approx 0No trend
γDU\gamma_{DU}0.030.03 (very low)Teleology absent — "no goal, nowhere to go"
γEO\gamma_{EO}0.040.04 (low)Immanence weakened — "emptiness inside"
γSE\gamma_{SE}0.200.20 (high)Representation — "I remember them clearly"

Sadness differs from fear: with fear PP is actively falling, with sadness it is frozen at a low level. Neither threat nor hope — only quiet stagnation.

Disgust

Situation: a person sees spoiled food.

ParameterValueExplanation
PP0.330.33Normal
dP/dτdP/d\tau0.010-0.010Moderate decline
d2P/dτ2d^2P/d\tau^20.003-0.003Weak negative trend
Gap(S,E)\mathrm{Gap}(S,E)0.850.85 (very high)Sharp divergence of structure and experience
γAD\gamma_{AD}0.180.18 (high)Actualisation — "perception focused"

The key feature of disgust: high Gap(S,E)\mathrm{Gap}(S,E). This means that the structure of the object (spoiled food as a physical form) sharply diverges from the experience (revulsion). Gap is a measure of "wrongness", "the mismatch between what one sees and what should be".

Phase diagram of emotions

Fear: formal analysis

Fear is the most "fundamental" emotion in UHM, since it is directly linked to the threat of existence. Let us examine it in detail.

Conditions for emergence

Fear:dPdτ<0,P(τ)Pcrit=27\text{Fear:} \quad \frac{dP}{d\tau} < 0, \quad P(\tau) \to P_{\text{crit}} = \frac{2}{7}

Fear intensity

Fear intensity is determined not only by the rate of fall dP/dτ|dP/d\tau| but also by proximity to the threshold:

IfeardP/dτPPcritI_{\text{fear}} \propto \frac{|dP/d\tau|}{P - P_{\text{crit}}}

Why this formula? Because the same dP/dτ=0.01dP/d\tau = -0.01 is experienced entirely differently at P=0.40P = 0.40 (far from the threshold, margin 0.1140.114) and at P=0.29P = 0.29 (near the threshold, margin 0.0040.004). As PPcritP \to P_{\text{crit}} intensity diverges — the system "experiences" an existential threat. If PP crosses PcritP_{\text{crit}} — irreversible decoherence (death of the system) begins.

Conditionality of quantitative estimates [C]

The specific formula IfeardP/dτ/(PPcrit)I_{\text{fear}} \propto |dP/d\tau| / (P - P_{\text{crit}}) is a conditional statement. The form of the divergence as PPcritP \to P_{\text{crit}} depends on the details of the regenerative term R[Γ,E]\mathcal{R}[\Gamma, E] and the dissipator DΩ[Γ]\mathcal{D}_\Omega[\Gamma].

Numerical example: escalating fear

We show how intensity grows as the threshold is approached at a fixed rate dP/dτ=0.01dP/d\tau = -0.01:

PPPPcritP - P_{\text{crit}}IfearI_{\text{fear}} \proptoSubjective experience
0.400.400.1140.1140.01/0.1140.090.01/0.114 \approx 0.09Mild discomfort: "something is wrong"
0.350.350.0640.0640.01/0.0640.160.01/0.064 \approx 0.16Worry: "something needs to be done"
0.320.320.0340.0340.01/0.0340.290.01/0.034 \approx 0.29Anxiety: "the situation is worsening"
0.300.300.0140.0140.01/0.0140.710.01/0.014 \approx 0.71Pronounced fear: "the danger is real"
0.290.290.0040.0040.01/0.0042.500.01/0.004 \approx 2.50Panic: "I am on the edge"

The same rate of decline dP/dτ=0.01dP/d\tau = -0.01 is experienced with ever-greater intensity as the threshold is approached — an effect familiar to anyone who has ever awaited medical results: a week before — mild anxiety; an hour before — strong agitation; at the moment of opening the envelope — panic.

Complex emotions as superpositions

Basic emotions are regions in the 30D emotional space. But most real emotions are not "pure" basic ones but superpositions of several patterns. Just as in quantum mechanics a state can be a superposition of basis states, an emotion can combine several basic patterns simultaneously.

Complex emotionBasic componentsSector characteristicLife example
AnxietyFear + SurprisedP/dτ<0dP/d\tau < 0, d2P/dτ2\lvert d^2P/d\tau^2\rvert unstableWaiting for test results
AweJoy + SurprisedP/dτ>0dP/d\tau > 0, γEO\gamma_{EO} ↑, γOU\gamma_{OU}View from a mountain summit
NostalgiaJoy + SadnessdP/dτ0dP/d\tau \approx 0, high γSE\gamma_{SE} with γSD\gamma_{SD}Memory of childhood
InspirationJoy + Surprise + AngerdP/dτ>0dP/d\tau > 0, γDO\gamma_{DO} ↑, γAE\gamma_{AE} ↑, γDD\gamma_{DD}Beginning a creative project
ShameSadness + Fear + Anger (at oneself)dP/dτ<0dP/d\tau < 0, RR high, γLE\gamma_{LE}Realising one's mistake
TendernessJoy + Sadness (mild)dP/dτ>0dP/d\tau > 0, γEO\gamma_{EO} ↑, γSE\gamma_{SE}Watching a child

Numerical example: nostalgia. A person looks at photographs from their youth.

ParameterValueComponent
dP/dτdP/d\tau+0.002+0.002Weakly positive (pleasant memory)
γSE\gamma_{SE}0.250.25High Representation — "I remember clearly"
γSD\gamma_{SD}0.030.03Low Persistence — "this no longer exists"
γEU\gamma_{EU}0.150.15Moderate Synthesis — "this was part of my life"

Nostalgia is simultaneously dP/dτ>0dP/d\tau > 0 (joy of memory) and γSD0\gamma_{SD} \approx 0 (awareness of irreversibility). Two opposing signals create the unique "bittersweet" taste.

Analogy. Basic emotions are like primary colours (red, blue, yellow). Complex emotions are mixed colours: nostalgia — mauve (joy + sadness), awe — gold (joy + surprise + depth). The 30D emotional space (T-147 [T]) makes it possible to describe the full "spectrum" of emotions, not just the named colours. Details — in CC theorems.

Comparison with other taxonomies

How does the UHM taxonomy relate to classical models of emotion?

ModelNumber of basicStructureMechanismStatus in UHM
Ekman (1971)6Discrete categoriesFacial expression6 regions in 30D space [I]
Russell (1980)2 axesContinuous circumplexValence + arousalProjection onto (V,A)(V, A) = $(\mathrm{sign}(dP/d\tau),
Plutchik (1980)8Wheel with intensityEvolutionary functions8 regions, intensity = $
Feldman Barrett (2017)0 (constructed)No basic emotionsPredictive codingσ(Γ)\sigma(\Gamma) — "construction", (dP/dτ)(dP/d\tau) — "affective root" [C]
UHM30DContinuous spacedP/dτ+σ(Γ)dP/d\tau + \sigma(\Gamma)Full model T-147 [T]

The main difference between UHM and all previous models: emotion is not a primitive (as in Ekman), not purely bodily (as in James), not purely cognitive (as in Schachter), but a derived quantity — it is computed from the dynamics of the single fundamental variable PP, enriched by sector information σ(Γ)\sigma(\Gamma).

Conditions for reflexive access to emotions

Statement C.2 (Threshold of emotional reflection) [C]

Condition: The threshold Rth=1/3R_{\text{th}} = 1/3 is a theorem [T] (K=3K = 3 from the triadic decomposition).

Reflexive access to one's own emotions (the capacity to "notice that I feel fear") requires level L2:

R(Γ)Rth=13R(\Gamma) \geq R_{\text{th}} = \frac{1}{3}

At R<RthR < R_{\text{th}} emotions are experienced but not reflected upon. The system acts "emotionally" but has no model of its own emotions.

The difference between experiencing and knowing

This distinction is fundamental and is often confused in ordinary language:

Experiencing emotion (L1)Knowing the emotion (L2)
ConditionγDE0\gamma_{DE} \neq 0R1/3R \geq 1/3, Φ1\Phi \geq 1
ExampleA dog whimpers in fearA person says "I am afraid"
BehaviourAutomatic reactionConscious choice of reaction
Verbal descriptionImpossiblePossible
ControlOnly reflexiveReflexive (in principle)

This explains the distinction between emotional behaviour (L1) and emotional self-awareness (L2). For further detail — see interiority hierarchy.

Analogy. A dog experiences fear (dP/dτ<0dP/d\tau < 0 as PP approaches PcritP_{\text{crit}}) — this is L1, emotional behaviour: it runs away. A human also experiences fear, but additionally knows that they experience it (R1/3R \geq 1/3, level L2): "I am afraid, and I notice that I am afraid." This distinction has practical significance for pathologies of consciousness: in alexithymia (Gap(L,E)1\mathrm{Gap}(L,E) \to 1) emotions are experienced but not perceived — formally L2, but with a "blocked" reflection channel.

Evolutionary meaning

The link between emotions and dP/dτdP/d\tau has a direct evolutionary meaning. Let us return to Darwin: emotions are universal because they serve a survival function. In UHM terms this function is the monitoring of viability:

EmotionSignalFunctionAdaptive behaviour
FeardP/dτ<0dP/d\tau < 0, PPcritP \to P_{\text{crit}}Threat detectionFlight, freezing
AngerdP/dτ<0dP/d\tau < 0, γDD\gamma_{DD} ↑↑Energy mobilisationFight, territory defence
JoydP/dτ>0dP/d\tau > 0Reinforcement of successful behaviourContinuation of current strategy
SadnessdP/dτ0dP/d\tau \approx 0, PP lowSignal to revise strategySocial support, restructuring
Surprise$d^2P/d\tau^2\gg 0$
DisgustGap(S,E)\mathrm{Gap}(S,E) ↑↑Avoidance of "toxic"Rejection, gag reflex
  • Negative emotions (dP/dτ<0dP/d\tau < 0) signal loss of coherence — motivate active countermeasures
  • Positive emotions (dP/dτ>0dP/d\tau > 0) signal growth of coherence — reinforce current behaviour
  • Surprise (d2P/dτ20|d^2P/d\tau^2| \gg 0) signals unpredictability — switches attention

In terms of the evolution equation, emotions are the "interior projection" of the balance between decoherence DΩ\mathcal{D}_\Omega and regeneration R\mathcal{R}. This balance is formalised in Coherence Cybernetics as the hedonic vector Vhed=dP/dτV_{\text{hed}} = dP/d\tau (T-103 [T]).


What we have learned

  1. The history of emotions — from Darwin to Feldman Barrett — prepares the UHM position: emotions are not primitives, not illusions, but derivatives of viability dynamics
  2. Emotion = triple (dP/dτ,d2P/dτ2,σ(Γ))(dP/d\tau, d^2P/d\tau^2, \sigma(\Gamma)) — fully determined by the dynamics of the coherence matrix
  3. Valence = sign of dP/dτdP/d\tau, arousal = modulus dP/dτ|dP/d\tau| — reproduce Russell's model
  4. 6 basic emotions (Ekman) receive a numerical description via PP, dP/dτdP/d\tau, d2P/dτ2d^2P/d\tau^2, and sector signature
  5. Fear is the fundamental emotion: its intensity diverges as PPcrit=2/7P \to P_{\text{crit}} = 2/7
  6. Complex emotions are superpositions of basic sector patterns in 30D space (T-147 [T])
  7. Reflection on emotions requires R1/3R \geq 1/3 (L2) — below this threshold emotions are experienced but not perceived
Bridge to the next chapter

Emotions unfold in time — the experience of "fear" takes time, "joy" lasts. But how does the subject experience time itself? Why does it sometimes "fly" and sometimes "drag"? In the next chapter — Subjective time — we will show that the subjective tempo is determined by the coherence γOE\gamma_{OE} between Foundation (internal clock) and Interiority (experience).