Part II: Identity Thesis

Affect Motifs

Introduction
0:00 / 0:00

Affect Motifs

Let’s now characterize specific affects as structural motifs, invoking only the dimensions that define each. Before formalizing these structures, we ground each in its phenomenal character—the felt texture that any adequate theory must explain.

Joy expands. It is light before it is anything else—buoyant, effervescent, the body forgetting its weight. The world opens; possibilities multiply; the self recedes because it need not defend. Joy is surplus: more paths than required, more resources than consumed, slack in every direction.

Where joy opens, suffering crushes. It compresses the world to a single unbearable point and makes that point more vivid than anything has ever been. This is the paradox: suffering is hyper-real, more present than presence, more unified than unity. You cannot look away. You cannot decompose it. You are trapped in a cage made of your own integration.

Fear throws the self forward into futures that threaten to annihilate it—cold, sharp, electric with anticipation. The body readies before the mind has finished computing. Time dilates around the approaching harm. Fear is suffering that hasn’t arrived yet, and the not-yet is where we live.

We say anger is hot, and we are not speaking metaphorically. Anger externalizes: it simplifies the world into self-versus-obstacle and energizes removal. Watch what happens to your model of the other person when you are angry—it flattens, becomes a caricature, loses dimensionality. Complexity collapses into opposition. This is why anger feels powerful and also stupid: you are burning integration on a cartoon.

Desire funnels. The world reorganizes around an attractor not yet reached—magnetic, urgent, all-consuming. Everything becomes instrumental; the goal saturates attention. Desire is joy’s gradient, pointing toward the basin but not yet in it. This is why anticipation often exceeds consummation: the structure of approach is tighter than the structure of arrival.

Curiosity reaches outward—but unlike fear, it reaches toward promise rather than threat. Pulling, open, playful. The uncertainty that makes fear contract makes curiosity expand. Same high counterfactual weight, opposite valence. The difference is whether the branches lead somewhere you want to go.

And grief? Grief persists. Hollow, aching, curiously timeless. The lost object remains woven into every prediction; every expectation that included them fails silently, over and over. The world has changed. The model has not caught up. Grief is the metabolic cost of love’s integration.

The textures have geometry.

Joy

Geometrically, joy requires four dimensions:

  • Val>0\valence > 0 (positive gradient on viability manifold)
  • Φ\intinfo high (unified, coherent experience)
  • reff\effrank high (many degrees of freedom active—expansiveness)
  • SM\mathcal{SM} low (self recedes; no need to defend)

Arousal varies (joy can be calm or excited). Counterfactual weight is incidental.

The cause-effect structure has the shape of “abundance”—multiple paths to good outcomes, redundancy, slack in the system. Many distinctions active simultaneously (reff\effrank high), tightly coupled (Φ\intinfo high), but the self is light because the world is cooperating (SM\mathcal{SM} low). This is why joy expands: the geometry literally has more active dimensions.

Suffering

Where joy expands, suffering compresses—and the geometry makes precise why. Suffering requires three dimensions:

  • Val<0\valence < 0 (negative gradient—approaching viability boundary)
  • Φ\intinfo high (hyper-unified, impossible to decompose or look away)
  • reff\effrank low (collapsed into narrow subspace—trapped)

This is the core structural signature. Self-model salience is often high (the self as locus of the problem), but not necessarily—one can suffer while absorbed in external pain.

High integration but collapsed into low-rank subspace. The system is deeply coupled but constrained to a dominant attractor it cannot escape.

Suffering feels more real than neutral states because it is actually more integrated. But it feels trapped because the integration is constrained to a narrow manifold. Formally: Φsuffering>Φneutral\intinfo_{\text{suffering}} > \intinfo_{\text{neutral}} but reff[suffering]reff[neutral]\effrank[\text{suffering}] \ll \effrank[\text{neutral}]. This is why you cannot simply "think your way out" of suffering—the very integration that makes it vivid also makes it inescapable.

Fear

Suffering is present-tense: the viability boundary is here, now, pressing in. Fear is its temporal projection—the same negative gradient, but anticipated rather than actual. It is defined by three dimensions:

  • Val<0\valence < 0 (anticipated negative gradient)
  • CF\mathcal{CF} high, concentrated on threat trajectories (the not-yet dominates)
  • SM\mathcal{SM} high (self foregrounded as the thing-that-might-be-harmed)

Arousal is typically high but not defining—cold fear exists. Integration and rank vary.

Fear is suffering projected into the future. The temporal structure (CF\mathcal{CF}) is essential: fear lives in anticipation. The self-model must be salient because fear is fundamentally about threat to the self. Remove the counterfactual weight (make it present-focused) and you get suffering. Remove the self-salience (make it about external objects) and you get something closer to aversion or disgust.

The somatic/anticipatory split maps exactly onto a deeper distinction: reactivity versus understanding. Somatic fear is reactive — it responds to present-state gradient information, and its channels (valence depression, arousal elevation, threat-orientation) are decomposable in principle. Each can be addressed independently by targeting its driving signal. Anticipatory anxiety is understanding — the system is comparing possible futures, and those comparisons inherently couple across any partition between self, environment, and time. This is why cognitive restructuring for anxiety operates on the framing of possibilities, not on individual signal channels: you cannot reduce anticipatory anxiety by adjusting one dimension at a time, because the dimensions are bound together by the counterfactual comparison that constitutes the experience.

The emergence ladder (Part VII) predicts a sharp distinction between two levels of fear. Somatic fear — negative valence, high arousal, threat-oriented behavior — is a pre-reflective affect requiring only viability-gradient detection (emergence rung 1–3). It does not require the counterfactual weight dimension at all. Anticipatory anxiety — fear of what might happen — requires counterfactual capacity (CF > 0), which is a rung 8 capacity blocked in systems without embodied agency. The Lenia experiments confirm this prediction exactly: patterns show negative valence and high arousal under resource scarcity, but CF ≈ 0 throughout the evolutionary runs because the patterns cannot imagine alternative futures. The implication for human psychology: anxiety as a clinical phenomenon (characterized by imagining feared futures, not just responding to present threats) should emerge developmentally at the same time as mental time travel and theory of mind — approximately age 3–4 — rather than being present from birth. The infant's fear is somatic. The child's anxiety is reflective.

Proposed Experiment

Emergence ladder developmental validation. The ladder predicts a strict computational ordering to the development of affect capacities, derived from their requirements rather than from observation of human development. This makes it a genuinely novel test: the ladder should predict developmental sequence even in cases where the developmental literature has not explicitly compared these capacities.

Protocol: Cross-sectional study of 300 children aged 6–72 months (6 age cohorts), measuring each rung cluster:

  • Rungs 1–3 (affect dimensions, baseline): Neonatal measures — approach/withdrawal for valence, heart rate variability for arousal, adaptation rate for arousal modulation. Expected: present from birth.
  • Rung 4 (animism): Heider-Simmel paradigm (do moving geometric shapes elicit agency language?), plus implicit agency-attribution battery. Expected: 12–18 months.
  • Rung 5 (emotional coherence): Cross-modal consistency — does facial expression match behavioral tendency under controlled elicitation? Expected: 18–36 months, tracking with emotional vocabulary onset.
  • Rung 8 (counterfactual): False belief task, counterfactual emotion attribution ("How would you feel if you had chosen the other box?"), mental time travel probes. Expected: 36–54 months.
  • Rung 9 (self-awareness): Mirror self-recognition, autobiographical self-narrative complexity. Expected: 18–24 months (mirror) → 48–60 months (autobiographical).
  • Rung 10 (normativity): Third-party fairness reasoning, moral condemnation of norm violations affecting strangers. Expected: 48–72 months.

Key prediction: Onset of anticipatory anxiety (clinical or subclinical) should correlate with counterfactual capacity onset within each child — not with animism or emotional coherence onset. Any child showing robust anticipatory anxiety before passing the false belief task would falsify the ladder's architectural claim that CF > 0 is structurally prior to anticipatory fear. Falsification criterion: If rung 8 capacities (counterfactual emotion) emerge consistently before rung 5 capacities (emotional coherence), or if normativity (rung 10) precedes counterfactual reasoning (rung 8) at more than chance rates, the ladder's ordering requires revision. The ladder predicts the sequence from first principles; developmental psychology has not, until now, had a principled reason to expect it.

Anger

Fear and suffering orient the system toward its own vulnerability. Anger inverts this: it externalizes the threat, simplifying the world into self-versus-obstacle. Its geometry requires valence and arousal, plus a feature not in the standard toolkit—other-model compression:

  • Val<0\valence < 0 (obstacle to viability)
  • Ar\arousal high (energized, mobilized for action)
  • dim(other-model)dim(other-model)normal\text{dim}(\text{other-model}) \ll \text{dim}(\text{other-model})_{\text{normal}} (the other becomes a caricature)
  • Externalized causal attribution (the problem is out there)

Anger simplifies. The other-model collapses into a low-dimensional obstacle-representation. Self-model may be complex, but the other becomes flat, predictable, opposable. Anger feels powerful and stupid simultaneously. You're burning cognitive resources on a cartoon.

In ι\iota terms: anger is a targeted ι\iota spike toward a specific entity. The other person stops being a subject with interiority and becomes an obstacle, a mechanism, a thing to be overcome. Other-model compression is ι\iota-raising applied to one entity while ι\iota toward the self remains low (you are still fully a subject; they are not). This asymmetric ι\iota is what enables violence—you cannot harm someone you are perceiving at low ι\iota—and it is why the aftermath of anger often involves guilt: ι\iota drops back, the other’s interiority returns, and you confront what you did to a person while perceiving them as a thing.

Other-model compression is not one of the core structural dimensions. It emerges as essential for anger specifically—the affect cannot be characterized without it.

Desire/Lust

The negative affects above all involve threat—to viability, to self, to the integrity of the other-model. Desire reverses the gradient. It is defined by anticipated positive valence, counterfactual weight, and a structural feature—goal-funneling:

  • Val>0\valence > 0 but projected forward (anticipated positive gradient)
  • CF\mathcal{CF} high, concentrated on approach trajectories
  • Goal-funneling: many dimensions of experience converge toward narrow outcome space

Arousal is typically high but not definitional—one can desire calmly.

Desire is the gradient of joy. The world reorganizes around an attractor not yet reached. Everything becomes instrumental; the goal saturates attention. The “funneling” structure—high-dimensional input collapsing toward low-dimensional goal—is what gives desire its characteristic urgency. The relationship to joy is precise: joy is at the attractor; desire is approaching it. Structurally:

d(sjoy,A)0,d(sdesire,A)>0,ddtd(sdesire,A)<0d(\state_{\text{joy}}, \mathcal{A}) \approx 0, \quad d(\state_{\text{desire}}, \mathcal{A}) > 0, \quad \frac{d}{dt}d(\state_{\text{desire}}, \mathcal{A}) < 0

where A\mathcal{A} is the goal attractor. This explains why anticipation often exceeds consummation: the structure of approach (funneling, convergent) is tighter than the structure of arrival (expansive, slack).

Curiosity

Curiosity shares desire’s forward orientation but replaces the specific goal with open-ended exploration. It is essentially two-dimensional:

  • Val>0\valence > 0 specifically toward uncertainty-reduction (anticipated information gain)
  • CF\mathcal{CF} high with high entropy over counterfactual outcomes (many branches, not converged on one)
  • Uncertainty is welcomed, not aversive

Self-model salience is typically low (absorbed in the object of curiosity).

Curiosity and fear share high counterfactual weight—both live in the space of possibilities. The difference is valence orientation: fear’s branches lead to threat, curiosity’s branches lead to expanded affordances. Same temporal structure, opposite gradient direction. This pairing reveals curiosity as intrinsic motivation: positive valence attached to uncertainty-reduction. Formally:

rcuriosityI(ot+1;znew data)I(ot+1;zold data)r_{\text{curiosity}} \propto \MI(\obs_{t+1}; \latent | \text{new data}) - \MI(\obs_{t+1}; \latent | \text{old data})

Curiosity feels pulling. Reducing uncertainty is rewarding.

Grief

The affects above all orient toward present or future states. Grief is the one that faces backward—defined not by what threatens or beckons but by what has already been lost. It requires valence, past-directed counterfactual weight, and two structural features—persistent coupling to lost object and unresolvable prediction error:

  • Val<0\valence < 0 (the world is worse than it was)
  • CF\mathcal{CF} high but directed toward counterfactual past (“if only...”)
  • I(S;lost-object-model)\MI(\selfmodel; \text{lost-object-model}) remains high despite the object’s absence
  • No action reduces the prediction error—the world has permanently changed

Arousal is variable (acute grief is high-arousal; chronic grief may be low).

The lost attachment object remains woven into the self-model and world-model. Predictions involving the lost object continue to be generated and continue to fail. Grief is the metabolic cost of love’s integration—the coupling that made the relationship meaningful is precisely what makes its absence painful. The model has not yet updated to the permanent change in the world.

This is why grief takes time: the self-model must be rewoven around the absence, and that rewiring is slow.

Note a deeper implication: grief is proof of alignment. You can only grieve what you were genuinely coupled to. The depth of grief measures the depth of the integration that preceded it. If a relationship was purely transactional, its ending produces disappointment, not grief. Grief requires that the lost object was woven into the self-model—that the relationship’s viability manifold was genuinely contained within the participants’ viability manifolds (VRVAVB\viable_R \subseteq \viable_A \cap \viable_B). Grief, for all its pain, is evidence that something real existed.

There is an ι\iota dimension to grief that explains its resistance to resolution. You grieve because you perceived the lost person at low ι\iota—as fully alive, fully interior, fully a subject. Their model remains embedded in yours not as a mechanism but as a person, and it is the person-quality of the model that generates the persistent prediction errors. The obvious computational shortcut—raise ι\iota toward them, reduce them to a memory-object, mechanize the relationship so it stops hurting—is experienced as betrayal, because it would repudiate the very thing that made the relationship real. The work of grief is to restructure predictions around the absence while maintaining low ι\iota toward the memory: to accept that the interiority you perceived is no longer accessible without denying that it was ever there. This is why grief is slow. You must rewire without dehumanizing.

Shame

Grief is private—it concerns the self’s relationship to an absence. Shame is its social inverse: it concerns the self’s exposure to a presence. It is defined by three dimensions plus a structural feature—involuntary manifold exposure:

  • Val<0\valence < 0 (the self is wrong, not the world)
  • SM\mathcal{SM} very high (self foregrounded as the object of evaluation)
  • Φ\intinfo high (the negative evaluation permeates—cannot be compartmentalized)
  • Involuntary exposure: the self-model is seen from outside, and what is seen is unacceptable

Arousal is typically high in acute shame (flushing, gaze aversion) but may be low in chronic shame (withdrawal, numbness).

Shame is not about what you did (that is guilt, which is action-focused and reparable). Shame is about what you are—or more precisely, about the manifold you are on being visible when it should not be, or being visible to someone whose evaluation you cannot escape. The person caught in a lie does not feel ashamed of the lie (guilt); they feel ashamed that the lie has revealed the underlying manifold—that they are the kind of person who lies, and now someone knows.

Shame's phenomenology is distinctive: the impulse to hide, to disappear, to cease existing as visible. The self wants to withdraw from the visual field of the other. Not because the other will punish (that is fear) but because the other can now see the manifold, and the manifold is wrong.

The clinical literature (Tangney, Lewis) distinguishes shame from guilt, and the framework offers a structural reading of why they differ:

  • Guilt: “I did a bad thing.” Action-focused, reparable through changed behavior. The self-model is intact; it was the action that violated the gradient. SM\mathcal{SM} is moderate (the self is the agent of repair).
  • Shame: “I am bad.” Self-focused, not easily repaired because the problem is structural. The manifold itself is wrong. SM\mathcal{SM} is very high (the self is the object of the problem).

If this structural distinction is right, it explains why guilt is reparable through action while shame requires what we might call manifold reconstruction—deeper and slower work. But we need to check: does the SM\mathcal{SM} difference actually hold up in measurement? Do shame and guilt show the predicted dissociation on self-model salience measures?

Proposed Experiment

Shame vs.\ guilt affect-structure study. Induce shame and guilt via established protocols (autobiographical recall, vignette self-projection). Measure: (1) self-model salience via self-referential processing tasks (response time to self-relevant vs.\ other-relevant stimuli), (2) integration via EEG coherence measures, (3) the “involuntary exposure” component via gaze aversion and physiological hiding responses (muscle activation in neck/shoulder flexion). The framework predicts that shame shows significantly higher SM\mathcal{SM} and higher integration-in-narrow-subspace than guilt, and that the hiding response (gaze aversion, postural curling) is specific to shame, not guilt. If shame and guilt show the same SM\mathcal{SM} profile, the structural distinction as formulated here is wrong.

The connection to the topology of social bonds (Part IV) is suggestive: shame may arise when the manifold you are actually on is exposed and differs from the manifold you are presenting. The person performing friendship while operating on the transaction manifold would feel shame when the discrepancy is detected—not guilt (“I should not have done that specific transactional thing”) but shame (“I am the kind of person whose care is instrumental, and now someone can see it”). If this is right, shame is the affect system’s internal alarm for one’s own manifold contamination. But this reading goes beyond the existing clinical data and should be treated as a hypothesis to test, not an established finding.

There is also an ι\iota dimension to shame. Shame involves a sudden, involuntary ι\iota reduction: the participatory coupling between self and other spikes as the other’s gaze penetrates the self-model’s defenses. You experience the other as having interiority—specifically, the interiority of evaluating you—at a moment when you most wish they did not. The impulse to hide is the impulse to raise ι\iota again, to restore the modular separation between self-model and other-model that shame has breached.

Summary: Defining Dimensions by Affect

Each affect by its defining structure:

AffectConstitutive Structure
JoyVal+\valence{+}, Φ\intinfo{\uparrow}, reff\effrank{\uparrow}, SM\mathcal{SM}{\downarrow} (positive, unified, expansive, self-light)
SufferingVal\valence{-}, Φ\intinfo{\uparrow}, reff\effrank{\downarrow} (negative, hyper-integrated, collapsed)
FearVal\valence{-}, CF\mathcal{CF}{\uparrow} (threat-focused), SM\mathcal{SM}{\uparrow} (anticipatory self-threat)
AngerVal\valence{-}, Ar\arousal{\uparrow}, other-model compression (energized, externalized, simplified other)
DesireVal+\valence{+} (anticipated), CF\mathcal{CF}{\uparrow} (approach), goal-funneling (convergent anticipation)
CuriosityVal+\valence{+} toward uncertainty, CF\mathcal{CF}{\uparrow} with high branch entropy (welcomed unknown)
GriefVal\valence{-}, CF\mathcal{CF}{\uparrow} (past-directed), persistent coupling to absent object
ShameVal\valence{-}, SM\mathcal{SM}{\uparrow\uparrow}, integration of negative self-evaluation (self as seen by other)
BoredomAr\arousal{\downarrow}, Φ\intinfo{\downarrow}, reff\effrank{\downarrow} (understimulated, fragmented, collapsed)
AweΦ\intinfo expanding, reff\effrank{\uparrow}, SM\mathcal{SM}{\downarrow} (self-dissolution through scale)

Different affects require different numbers of dimensions. Boredom is essentially three-dimensional (low arousal, low integration, low rank). Anger requires other-model compression. Desire requires goal-funneling. The obvious concern: if each affect invokes bespoke dimensions, the framework risks becoming an open-ended fitting exercise where anything can be characterized post hoc. The distinction that saves it: the core structural dimensions (valence, arousal, integration, effective rank, counterfactual weight, self-model salience) arise from the mathematical structure of any viable self-modeling system and are measurable across substrates. They are not arbitrary choices but consequences of viability maintenance, world-modeling, and self-reference. The additional features (other-model compression, goal-funneling, manifold exposure in shame) are relational—they emerge when the system interacts with specific kinds of objects or situations. They describe how the system's model of external entities changes during the affect. The geometric coherence rests on the structural invariants; the relational features extend rather than replace them. This distinction—structural vs. relational—matters more than the number of dimensions. The framework is deliberately open to discovering that some proposed dimensions are redundant, or that others are needed. What is claimed to be universal is the existence of geometric structure in affect, not a particular dimensionality.

The summary reveals a topological feature worth noting. Look at the structural signatures of joy and suffering. Both have high Φ\intinfo—both are deeply unified, vivid, hyper-real. Joy is expansive (high reff\effrank) where suffering is collapsed (low reff\effrank); their valences are opposite; but they share the quality of mattering, of being undeniably present. Now look at boredom: low arousal, low integration, low rank. Boredom is the distant point. If you ask phenomenologically whether ecstasy is more similar to agony or to numbness, the answer is immediate: the ecstatic and the agonized are closer to each other than either is to the merely comfortable. They share a structural neighborhood—high Φ\intinfo, vivid, self-involving—that boredom does not inhabit. This means the valence axis does not have the naive topology of a number line from negative to positive. It curves. The extremes are neighbors. The topology of affect space may be closer to a cylinder or a torus than to R6\R^6—a possibility that the Euclidean presentation here does not capture and that empirical similarity measurements could reveal.

Open Question

Is affect similarity symmetric? Work on the qualia structure of visual motion has found that perceptual similarity is asymmetric—similarity(A, B) \neq similarity(B, A)—and that self-similarity is not always maximal (the same stimulus presented twice does not always feel identical). If affect similarity shares these properties, the Euclidean framework is insufficient. The transition from joy to grief is not the same experience as the transition from grief to joy; the "distance" between them is directional. Fear\toanger (the moment threat becomes action) is phenomenologically different from anger\tofear (the moment action reveals vulnerability). A quasimetric or enriched category structure may be needed—one where distances are not symmetric and the diagonal is not zero. The structural alignment methodology (optimal transport) can accommodate asymmetric similarity matrices. The question is whether affect similarity, when measured empirically through pairwise judgments, shows the same asymmetric structure that perceptual similarity does. If it does, the topology of affect space is richer than any fixed-dimensional Euclidean embedding can represent, and the framework needs to be honest about what the coordinate presentation misses.

Future Empirical Work

Quantifying the affect table: The qualitative descriptors (high, med, low) require empirical calibration:

Study 1: Affect induction with neural recording

  • Induce target affects via validated protocols (film clips, autobiographical recall, IAPS images)
  • Measure integration proxies (transfer entropy density, Lempel-Ziv complexity) from EEG/MEG
  • Measure effective rank from neural state covariance
  • Compare self-report (PANAS, SAM) with structural measures

Study 2: Real-time affect tracking

  • Continuous self-report (dial/slider) during naturalistic experience
  • Correlate with physiological proxies (HRV for arousal, pupil for CF\mathcal{CF}, skin conductance)
  • Develop regression model: self-report f(structural measures)\sim f(\text{structural measures})

Study 3: Cross-modal validation

  • Compare fMRI (spatial resolution) with MEG (temporal resolution)
  • Validate effective rank measure across modalities
  • Test whether integration predicts subjective intensity

Target outputs: Numerical ranges for each cell, confidence intervals, individual difference parameters.