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Theory of Interiority

"What Is It Like to Be a Bat?"

In 1974 philosopher Thomas Nagel published an essay that became one of the most cited in the philosophy of mind: "What Is It Like to Be a Bat?". His argument is simple and devastating:

A bat perceives the world through echolocation. It has subjective experience — "what it is like" to be a bat. But no amount of neurophysiological knowledge about the bat's brain will allow us to live through its experience. We can describe the frequency of ultrasound, the neural patterns of echo processing — but between the objective description and the subjective experience there remains an abyss.

Nagel posed the question. Daniel Dennett (1991) tried to sidestep it, arguing that there is no "what it is like" at all. Michael Levin (2019) suggested that subjectivity is more widespread than we think — down to cellular aggregates. But none of these approaches provided a mathematical language for describing the content of experience.

UHM provides this language. The question "what is it like to be a system Γ\Gamma?" receives a precise answer: the content of experience is determined by the spectral decomposition of the reduced matrix ρE=TrE(Γ)\rho_E = \mathrm{Tr}_{-E}(\Gamma).

Where we come from

In the previous chapter we established that Γ\Gamma has an inner side (interiority) as an inseparable aspect, not a superstructure. Now we formalise: what exactly does this inner side contain? The answer — the spectral decomposition of the reduced matrix ρE\rho_E.

Chapter Roadmap

  1. Reduced matrix ρE\rho_E — how the "projection onto experience" is extracted from the full Γ\Gamma
  2. Four components of experience — intensity, quality, context, history
  3. Projective space of qualities — the geometry in which sensations live
  4. Fubini-Study metric — distance between qualities (how much red differs from blue)
  5. Unity of experience — how the UU dimension ensures the wholeness of the "self"
  6. Examples — the colour red and pain in terms of the formalism

Reduced Matrix of Experience

Motivation: how to extract the "experiential" part from the full description

Γ\Gamma — the full 7×77 \times 7 coherence matrix describing all aspects of the system: activity, structure, dynamics, logic, interiority, foundation, unity. But we are specifically interested in interiority — dimension EE. How do we isolate precisely this part?

Analogy. Imagine a symphony orchestra of seven sections (7 dimensions of Γ\Gamma). One section — the woodwinds (dimension EE, interiority). To understand what this section "hears," we can "mute" the other six sections and listen only to its part — this is ρE=TrE(Γ)\rho_E = \mathrm{Tr}_{-E}(\Gamma). But the full picture of the sound requires knowing how the woodwinds interact with the other sections — this is context {γEk}\{\gamma_{Ek}\}.

Definition

The density matrix of the Interiority dimension ρE\rho_E is obtained by the partial trace of the coherence matrix Γ\Gamma over all dimensions except EE:

ρE:=TrE(Γ)\rho_E := \mathrm{Tr}_{-E}(\Gamma)

where TrE\mathrm{Tr}_{-E} is the partial trace over dimensions {A,S,D,L,O,U}\{A, S, D, L, O, U\}.

What is the partial trace? If the full system is described by matrix Γ\Gamma in the space HEHrest\mathcal{H}_E \otimes \mathcal{H}_{\text{rest}}, then the partial trace is the operation of "summing" over all degrees of freedom except the dimension EE of interest. The result is a matrix ρE\rho_E containing all information about the EE-component accessible without knowledge of the remaining dimensions.

Numerical example. Let Γ\Gamma be a state with γEE=0.20\gamma_{EE} = 0.20 (20% of the resource in interiority). Then ρE\rho_E will have trace 1 (normalisation), but the main contribution to its spectrum will be determined by γEE\gamma_{EE} and coherences γEk\gamma_{Ek}.

Morita equivalence of 7D and 42D formalisms [T]

The partial trace TrE\mathrm{Tr}_{-E} is formally defined in the extended formalism (H=C42\mathcal{H} = \mathbb{C}^{42}). However, the 7D and 42D formalisms are Morita equivalent [T]: the sites (C7,JBures)(\mathcal{C}_7, J_{\text{Bures}}) and (C42PW,JBures)(\mathcal{C}_{42}^{\text{PW}}, J_{\text{Bures}}) induce equivalent sheaf categories Sh(C7)Sh(C42PW)\mathbf{Sh}_\infty(\mathcal{C}_7) \simeq \mathbf{Sh}_\infty(\mathcal{C}_{42}^{\text{PW}}).

Consequently, ρE\rho_E is uniquely determined via ΓD(C7)\Gamma \in \mathcal{D}(\mathbb{C}^7) as the E-block of PW-reconstruction. All definitions in this document are exact in the 7D formalism.

See Two levels of formalisation.

Information completeness [D]

ρE=TrE(Γ)\rho_E = \mathrm{Tr}_{-E}(\Gamma) loses the cross-sectoral coherences γij\gamma_{ij} for i,j{E}i,j \notin \{E\}. The full experiential content is recovered through context: Expk=(λk,[qk],Contextk,Histk)\mathrm{Exp}_k = (\lambda_k, [|q_k\rangle], \mathrm{Context}_k, \mathrm{Hist}_k), where Contextk={γEk:kE}\mathrm{Context}_k = \{\gamma_{Ek} : k \neq E\} is taken from the full matrix Γ\Gamma, not from ρE\rho_E. Thus: ρE\rho_E determines intensities and qualities; Γ\Gamma determines context and connections.

Basic Equation

Experiential content is linked to the spectral decomposition of ρE\rho_E:

ρEqi=λiqi\rho_E |q_i\rangle = \lambda_i |q_i\rangle

This is the standard eigenvalue problem. ρE\rho_E is a Hermitian matrix, so by the spectral theorem it is diagonalisable and all eigenvalues are real:

  • λi[0,1]\lambda_i \in [0, 1]intensity of the ii-th component, iλi=1\sum_i \lambda_i = 1
  • qiHE|q_i\rangle \in \mathcal{H}_Equality of the ii-th component
  • HE\mathcal{H}_E — Hilbert space of the Interiority dimension

Interpretation: Each eigenvalue λi\lambda_i shows how strongly the given component of experience is present. Each eigenvector qi|q_i\rangle determines what kind of component it is — its qualitative character.

Terminology

The term "qualia" is used ONLY for L2 (cognitive qualia at RRth=1/3R \geq R_{\text{th}} = 1/3, ΦΦth=1\Phi \geq \Phi_{\text{th}} = 1, DdiffDmin=2D_{\text{diff}} \geq D_{\min} = 2). For the general case (L0–L2) the term "experiential content" is used.

See Interiority Hierarchy for formal definitions of levels.

Numerical Examples of Computing ρE\rho_E

To make the formalism tangible, let us consider three concrete examples: how the reduced matrix ρE\rho_E is computed from the full matrix Γ\Gamma, and what its spectrum means.

Example 1: Deep sleep (L0)

Initial Γ\Gamma — nearly maximally mixed state:

Γsleep=17I+εΔ,ε0.02\Gamma_{\text{sleep}} = \frac{1}{7}I + \varepsilon \cdot \Delta, \quad \varepsilon \approx 0.02

Diagonal elements: γkk1/70.143\gamma_{kk} \approx 1/7 \approx 0.143 for all kk. Off-diagonal elements: γij0.02|\gamma_{ij}| \lesssim 0.02 — nearly zero coherences.

Computing ρE\rho_E. Upon taking the partial trace over {A,S,D,L,O,U}\{A,S,D,L,O,U\} we obtain a scalar (one-dimensional E-block in the 7D formalism):

ρEsleepγEE0.143\rho_E^{\text{sleep}} \approx \gamma_{EE} \approx 0.143

In the extended PW formalism ρE\rho_E is a 6×66 \times 6 matrix (E participates in 6 pairs). Its spectrum:

Spectrum(ρEsleep){0.17,  0.17,  0.17,  0.17,  0.16,  0.16}\text{Spectrum}(\rho_E^{\text{sleep}}) \approx \{0.17,\; 0.17,\; 0.17,\; 0.17,\; 0.16,\; 0.16\}

Interpretation. The spectrum is nearly uniform — there is no dominant component. This is the "white noise" of interiority: the system distinguishes no aspect of experience. Purity P=Tr(Γ2)1/7+O(ε2)0.144P = \text{Tr}(\Gamma^2) \approx 1/7 + O(\varepsilon^2) \approx 0.144 — below the threshold Pcrit=2/70.286P_{\text{crit}} = 2/7 \approx 0.286.

Example 2: Wakefulness — perception of red (L2)

Initial Γ\Gamma — state with dominant E-activity and coherences:

γEE=0.20,γAA=0.18,γLL=0.15\gamma_{EE} = 0.20, \quad \gamma_{AA} = 0.18, \quad \gamma_{LL} = 0.15γEA=0.12ei0.1,γEL=0.08ei0.05,γEU=0.10ei0.15\gamma_{EA} = 0.12 \cdot e^{i \cdot 0.1}, \quad \gamma_{EL} = 0.08 \cdot e^{i \cdot 0.05}, \quad \gamma_{EU} = 0.10 \cdot e^{i \cdot 0.15}

Remaining diagonal: γSS=0.14\gamma_{SS} = 0.14, γDD=0.12\gamma_{DD} = 0.12, γOO=0.11\gamma_{OO} = 0.11, γUU=0.10\gamma_{UU} = 0.10.

Spectrum of ρE\rho_E (via PW-reconstruction):

Spectrum(ρEawake){0.52,  0.23,  0.11,  0.07,  0.04,  0.03}\text{Spectrum}(\rho_E^{\text{awake}}) \approx \{0.52,\; 0.23,\; 0.11,\; 0.07,\; 0.04,\; 0.03\}

Interpretation. The dominant eigenvalue λ1=0.52\lambda_1 = 0.52 — more than half of the experience's "bandwidth" is occupied by a single component (the colour red). The corresponding eigenvector q1|q_1\rangle determines the specific shade. The second component (λ2=0.23\lambda_2 = 0.23) — background sensation (spatial context). Purity P0.31>PcritP \approx 0.31 > P_{\text{crit}}.

Measures: R0.381/3R \approx 0.38 \geq 1/3 (reflection present), Φ1.21\Phi \approx 1.2 \geq 1 (integration present). The system is at level L2 — conscious perception.

Example 3: Deep meditation (upper range of L2)

Initial Γ\Gamma — state with high coherence between E and U:

γEE=0.18,γUU=0.17,γOO=0.16\gamma_{EE} = 0.18, \quad \gamma_{UU} = 0.17, \quad \gamma_{OO} = 0.16γEU=0.14ei0.03,γEO=0.11ei0.04,γEA=0.06ei0.08\gamma_{EU} = 0.14 \cdot e^{i \cdot 0.03}, \quad \gamma_{EO} = 0.11 \cdot e^{i \cdot 0.04}, \quad \gamma_{EA} = 0.06 \cdot e^{i \cdot 0.08}

Spectrum of ρE\rho_E:

Spectrum(ρEmedit){0.38,  0.30,  0.15,  0.09,  0.05,  0.03}\text{Spectrum}(\rho_E^{\text{medit}}) \approx \{0.38,\; 0.30,\; 0.15,\; 0.09,\; 0.05,\; 0.03\}

Interpretation. The two leading eigenvalues (λ1=0.38\lambda_1 = 0.38, λ2=0.30\lambda_2 = 0.30) are close in magnitude — there is no sharp dominance of a single component. This is a "broad" experience: not fixation on an object, but even-handed awareness. Coherence γEU=0.14\gamma_{EU} = 0.14 — strong connection of experience with unity (a feeling of wholeness). Phases are small (θ0.08\theta \lesssim 0.08) — high transparency of channels. Purity P0.29P \approx 0.29 — just above PcritP_{\text{crit}}, in the Goldilocks window (2/7,3/7](2/7, 3/7] [T T-124].

Geometric Intuition: spectrum of ρE\rho_E in different states

The spectrum of ρE\rho_E can be visualised as a bar chart on an (n1)(n-1)-simplex. Characteristic patterns:

StateSpectrum patternλ1/λ2\lambda_1 / \lambda_2Geometric analogy
Deep sleep (L0)Flat: λi1/n\lambda_i \approx 1/n1.0\approx 1.0Point at the centre of the simplex — maximum entropy
Wakefulness (L2)Peaked: λ1λ2\lambda_1 \gg \lambda_222--55Point near the vertex — one component dominates
Meditation (L2)Two-peaked: λ1λ2λ3\lambda_1 \approx \lambda_2 \gg \lambda_31.11.1--1.51.5Point on the edge of the simplex — two comparable components
Flow (flow)Moderately peaked1.51.5--33Between vertex and edge — focus + context
DissociationFlat with gap γEU0\gamma_{EU} \to 01\approx 1Centre of simplex, but coherences are severed

Key invariant. The ratio λ1/λ2\lambda_1/\lambda_2 is a measure of the focus of experience:

  • λ1/λ21\lambda_1/\lambda_2 \gg 1: narrow focus (perception of a single object, acute pain)
  • λ1/λ21\lambda_1/\lambda_2 \approx 1: broad scope (panoramic awareness, "pure consciousness")

This ratio is G2G_2-invariant (does not depend on the choice of basis) and therefore is an objective characteristic of the state of consciousness.


Experiential Content: Four Components

What exactly does a system experience? UHM gives the answer through four components, each computable from Γ\Gamma:

Exp(Γ,τ):=(Intensity,Quality,Context,History)\mathrm{Exp}(\Gamma, \tau) := (\mathrm{Intensity}, \mathrm{Quality}, \mathrm{Context}, \mathrm{History})

Analogy with the painter's palette. Imagine a palette with paints. Intensity — how much paint of each colour is on the palette (a lot of red, little blue). Quality — the colours themselves (red, blue, green). Context — the lighting in the studio, which changes the perception of colours. History — how the palette looked a minute ago (the painter just added yellow).

Component 1: Intensity

Spectrum of eigenvalues of ρE\rho_E:

Intensity(ρE):={λi}i=1n,where ρEqi=λiqi\mathrm{Intensity}(\rho_E) := \{\lambda_i\}_{i=1}^{n}, \quad \text{where } \rho_E|q_i\rangle = \lambda_i|q_i\rangle

Intensity determines the amplitude of the interiority state (at L2+: loudness, brightness, strength of experience).

Numerical example. Let ρE\rho_E have spectrum {0.6,0.3,0.1}\{0.6, 0.3, 0.1\}. This means: the dominant component of experience occupies 60% of the "bandwidth," the second — 30%, the third — 10%. Like a bright red rose against a muted green garden with the barely audible hum of a bee.

Component 2: Quality

Eigenvectors in projective space:

Quality(ρE):={[qi]P(HE)}i=1n\mathrm{Quality}(\rho_E) := \{[|q_i\rangle] \in \mathbb{P}(\mathcal{H}_E)\}_{i=1}^{n}

Quality determines the character of the interiority state (at L2+: timbre, colour, character of experience).

The square brackets [][\cdot] denote an equivalence class: a vector and its multiplication by a complex number yield the same quality. This is physically meaningful: the global phase is unobservable.

Component 3: Context

Coherences between dimension EE and the others:

Context(Γ):={γEA,γES,γED,γEL,γEO,γEU}\mathrm{Context}(\Gamma) := \{\gamma_{EA}, \gamma_{ES}, \gamma_{ED}, \gamma_{EL}, \gamma_{EO}, \gamma_{EU}\}

Context modulates experience through coherences:

CoherenceDescription of modulation
γEA\gamma_{EA}Attention — how actively the system processes interiority content
γES\gamma_{ES}Structural context — bodily sensations, spatial grounding
γED\gamma_{ED}Dynamic context — temporal unfolding, rhythm of experience
γEL\gamma_{EL}Logical context — conceptual framing (at L2)
γEO\gamma_{EO}Emotional tone — connection to basic dispositions
γEU\gamma_{EU}Unity — how much experience is integrated into a unified "self"

Component 4: History

Trajectory of evolution of ρE\rho_E in time window TmemT_{\mathrm{mem}}:

History(τ,Tmem):={ρE(τ):τ[τTmem,τ]}\mathrm{History}(\tau, T_{\mathrm{mem}}) := \{\rho_E(\tau') : \tau' \in [\tau - T_{\mathrm{mem}}, \tau]\}

where Tmem>0T_{\mathrm{mem}} > 0 is the system's characteristic memory time. History determines adaptation, habituation, expectations. Without history, anticipation (prediction of future ρE\rho_E on the basis of the past), habituation (decrease of intensity upon repeated stimulation), and surprise (divergence between expected and actual ρE\rho_E) are impossible.

Projective Space of Qualities

Motivation: why qualities live in projective space

The qualities of experience are not merely a set of numbers. They form a geometric space with its own metric. This space is the projective space P(HE)\mathbb{P}(\mathcal{H}_E).

Why projective and not ordinary? Because the global phase is unobservable: vectors q|q\rangle and eiθqe^{i\theta}|q\rangle describe the same quality. Therefore we work not with vectors but with rays — equivalence classes:

P(HE):=(HE{0})/\mathbb{P}(\mathcal{H}_E) := (\mathcal{H}_E \setminus \{0\}) / \sim

where the equivalence relation is:

ψϕcC:ψ=cϕ|\psi\rangle \sim |\phi\rangle \quad \Leftrightarrow \quad \exists c \in \mathbb{C}^*: |\psi\rangle = c|\phi\rangle

Analogy. Think of compass directions. North-east is a direction, not a point. Doubling the compass needle does not change the direction. In the same way, doubling the vector q|q\rangle does not change the quality — the direction is the same.

Topology (for dim(HE)=n\dim(\mathcal{H}_E) = n):

PropertyDescription
CompactnessP(Cn)\mathbb{P}(\mathbb{C}^n) is compact
ConnectednessP(Cn)\mathbb{P}(\mathbb{C}^n) is connected
IsomorphismP(Cn)S2n1/U(1)\mathbb{P}(\mathbb{C}^n) \cong S^{2n-1} / U(1)
DimensiondimR(P(Cn))=2n2\dim_{\mathbb{R}}(\mathbb{P}(\mathbb{C}^n)) = 2n - 2

Connectedness means that from any quality one can continuously pass to any other — there are no "isolated islands" in the space of experiences. Compactness guarantees that the space of qualities is finite — there are no "infinite expanses."

Fubini-Study Metric

Motivation: how to measure distance between experiences

Intuitively, red is "closer" to orange than to blue. Pain in a finger is "closer" to pain in the hand than to the smell of a rose. But can this be formalised?

The Fubini-Study metric is the unique (up to a constant) monotone Riemannian metric on projective space (Chentsov-Petz theorem). This is not an arbitrary choice, but a forced structure.

Distance between qualities:

dFS([ψ],[ϕ]):=arccos(ψϕ)[0,π/2]d_{FS}([|\psi\rangle], [|\phi\rangle]) := \arccos(|\langle\psi|\phi\rangle|) \in [0, \pi/2]

where [ψ][|\psi\rangle] is the equivalence class of vector ψ|\psi\rangle in P(HE)\mathbb{P}(\mathcal{H}_E).

In plain terms: Take two vectors q1|q_1\rangle and q2|q_2\rangle representing two qualities. Compute their inner product (in absolute value). If it equals 1 — the qualities coincide. If 0 — they are maximally distinct. The Fubini-Study distance is the arccosine of this absolute value.

Numerical example. Let qred=(10)|q_{\text{red}}\rangle = \begin{pmatrix}1\\0\end{pmatrix} and qorange=(cos15°sin15°)|q_{\text{orange}}\rangle = \begin{pmatrix}\cos 15°\\\sin 15°\end{pmatrix}. Then:

dFS=arccos(cos15°)=15°0.26 radd_{FS} = \arccos(|\cos 15°|) = 15° \approx 0.26 \text{ rad}

And for qblue=(01)|q_{\text{blue}}\rangle = \begin{pmatrix}0\\1\end{pmatrix}:

dFS(red,blue)=arccos(0)=π/21.57 radd_{FS}(\text{red}, \text{blue}) = \arccos(0) = \pi/2 \approx 1.57 \text{ rad}

Red is indeed closer to orange than to blue.

Properties:

ConditionValueInterpretation
dFS=0d_{FS} = 0ψ=eiθϕ\vert\psi\rangle = e^{i\theta}\vert\phi\rangleIdentical qualities
dFS=π/2d_{FS} = \pi/2ψϕ=0\langle\psi\vert\phi\rangle = 0Maximally distinct qualities

Infinitesimal form (Riemannian metric):

ds2=dψdψψdψ2ds^2 = \langle d\psi|d\psi\rangle - |\langle\psi|d\psi\rangle|^2

Full Metric on the Experiential Space

Distance between two experiential states E1E_1, E2E_2:

dE(E1,E2):=dλ2+αdFS2+βdC2+γdH2d_{\mathcal{E}}(E_1, E_2) := \sqrt{d_{\lambda}^2 + \alpha \cdot d_{FS}^2 + \beta \cdot d_C^2 + \gamma \cdot d_H^2}

where the metric components are:

ComponentDefinitionDescription
dλd_{\lambda}λ1λ22\|\boldsymbol{\lambda}_1 - \boldsymbol{\lambda}_2\|_2Euclidean distance between spectra
dFSd_{FS}idFS([qi(1)],[qi(2)])\sum_i d_{FS}([\lvert q_i^{(1)}\rangle], [\lvert q_i^{(2)}\rangle])Sum of Fubini-Study distances
dCd_CContext1Context2F\|\mathrm{Context}_1 - \mathrm{Context}_2\|_FFrobenius norm for contexts
dHd_HτTmemτρE(1)(τ)ρE(2)(τ)Fdτ\int_{\tau-T_{\mathrm{mem}}}^{\tau} \|\rho_E^{(1)}(\tau') - \rho_E^{(2)}(\tau')\|_F \, d\tau'Integral of history difference

Weights α,β,γ>0\alpha, \beta, \gamma > 0 — model parameters.

Empirical status

Weights α\alpha, β\beta, γ\gamma have empirical status — they are not derived from UHM axioms and require calibration for specific systems.

info
G2G_2-invariance of the experiential metric [T]

All components of the metric dEd_{\mathcal{E}} are G2G_2-invariant: for UG2U \in G_2, dE(E1,E2)=dE(UE1U,UE2U)d_{\mathcal{E}}(E_1, E_2) = d_{\mathcal{E}}(UE_1 U^\dagger, UE_2 U^\dagger). This follows from:

  • dλd_\lambda: the spectrum of ρE\rho_E does not change under unitary conjugation (in particular, under G2U(7)G_2 \subset U(7))
  • dFSd_{FS}: the Fubini-Study metric is invariant under U(n)U(n)-transformations (Chentsov-Petz theorem)
  • dCd_C, dHd_H: context and history are determined by matrix elements of Γ\Gamma, transforming covariantly

Consequently, the geometry of experiential space is objective — it does not depend on the choice of gauge (G2G_2-frame). The G2G_2-rigidity theorem [T] guarantees: different observers measure the same phenomenal geometry.

Levels of Completeness of Description

Note

This is a hierarchy of completeness of description of a single state. Not to be confused with the interiority hierarchy (L0→L1→L2→L3→L4), which describes types of systems.

CompletenessComponentsApplicability
Spectral{λi}\{\lambda_i\}Intensities only (insufficient for distinguishing qualities)
Geometric({λi},{[qi]})(\{\lambda_i\}, \{[\lvert q_i\rangle]\})Intensity + quality
Contextual({λi},{[qi]},C)(\{\lambda_i\}, \{[\lvert q_i\rangle]\}, C)+ coherences with other dimensions
Full({λi},{[qi]},C,H)(\{\lambda_i\}, \{[\lvert q_i\rangle]\}, C, H)+ history of evolution

The Isospectrality Problem

Problem: There exist matrices ρ1ρ2\rho_1 \neq \rho_2 with Spectrum(ρ1)=Spectrum(ρ2)\text{Spectrum}(\rho_1) = \text{Spectrum}(\rho_2) but different eigenvectors. Can two completely different experiences have the same "loudness"?

Answer: yes, and the formalism distinguishes them. Qualities differ through eigenvectors:

Spectrum(ρ1)=Spectrum(ρ2), but Quality(ρ1)Quality(ρ2)\text{Spectrum}(\rho_1) = \text{Spectrum}(\rho_2), \text{ but } \text{Quality}(\rho_1) \neq \text{Quality}(\rho_2) Exp(ρ1)Exp(ρ2)\Rightarrow \text{Exp}(\rho_1) \neq \text{Exp}(\rho_2)

Isospectral states can have equal intensity but different quality of experience.

Analogy. Two chords can have the same volume (intensity), but sound completely different (quality): major and minor — isospectral in amplitude, but distinct in timbre.

Examples of Cognitive Qualia (L2)

When L2 conditions are met: R1/3R \geq 1/3 [T], Φ1\Phi \geq 1 [T] (T-129), Ddiff2D_{\text{diff}} \geq 2 [T] (T-151) (L2 thresholds) the components of experience become reflexively accessible — the system does not merely "experience," but knows that it experiences.

The colour red

ComponentMathematical representationPhenomenal interpretation
Intensityλred[0,1]\lambda_{\text{red}} \in [0, 1]Brightness
Quality[qred]P(HE)[\vert q_{\text{red}}\rangle] \in \mathbb{P}(\mathcal{H}_E)Shade of red
ContextγEA\gamma_{EA} (attention), γEL\gamma_{EL}Lighting, background
HistoryρE(τTmem)ρE(τ)\rho_E(\tau - T_{\mathrm{mem}}) \to \rho_E(\tau)Retinal adaptation

When you look at a red rose: λred0.7\lambda_{\text{red}} \approx 0.7 (dominant component), qred|q_{\text{red}}\rangle determines the specific shade, γEA\gamma_{EA} is high (you are paying attention), γEO\gamma_{EO} sets the emotional tone (beauty, joy). After a minute of adaptation λred\lambda_{\text{red}} decreases slightly — history.

Pain

ComponentMathematical representationPhenomenal interpretation
Intensityλpain[0,1]\lambda_{\text{pain}} \in [0, 1]Strength of pain
Quality[qpain]P(HE)[\vert q_{\text{pain}}\rangle] \in \mathbb{P}(\mathcal{H}_E)Sharp/dull/throbbing
ContextγES\gamma_{ES} (structure), γEO\gamma_{EO}Localisation, emotions
History{ρE(τ)}τ[τTmem,τ]\{\rho_E(\tau')\}_{\tau' \in [\tau - T_{\mathrm{mem}}, \tau]}Sensitisation/desensitisation

The difference between sharp and dull pain is a difference in qpain|q_{\text{pain}}\rangle, not in λpain\lambda_{\text{pain}}. Intense dull pain (λ=0.8\lambda = 0.8, qdull|q_{\text{dull}}\rangle) and mild sharp pain (λ=0.3\lambda = 0.3, qsharp|q_{\text{sharp}}\rangle) differ in both components.

Connection to Neuroscience

How does ρE\rho_E relate to neural correlates of consciousness (NCC)?

In neuroscience, NCC is the minimal neural mechanism sufficient for a specific experience. In UHM:

Neuroscientific termCorrespondence in UHM
NCC (neural correlate of consciousness)Projection of Γ\Gamma onto the neural basis
Contents of consciousnessρE\rho_E (reduced matrix)
Arousal levelλmax(ρE)\lambda_{\max}(\rho_E) (dominant intensity)
Connectivity (functional connectivity)Φ\Phi (integration measure)
Neural differentiationDdiffD_{\text{diff}}

UHM does not compete with neuroscience, but provides a mathematical language in which neural data can be interpreted. Prediction: neural patterns corresponding to conscious perception must satisfy P>2/7P > 2/7, R1/3R \geq 1/3, Φ1\Phi \geq 1 (if correctly mapped into the Γ\Gamma-formalism).

Unity of Experience

The Binding Problem

Neuroscience knows that colour is processed in area V4, shape in area IT, motion in MT. But we see a unified object: a red ball flying to the right. How are representations distributed across the cortex unified into a coherent experience?

UHM's Solution

Subjective unity of experience ("self") is provided by the Unity dimension (U) through coherences γEU\gamma_{EU}:

ΦE:=ijγEiEj2iγEiEi2\Phi_E := \frac{\sum_{i \neq j} |\gamma_{E_i E_j}|^2}{\sum_i \gamma_{E_i E_i}^2}

where ΦE\Phi_E is the integration measure of the experiential subspace (not to be confused with the global integration measure Φ\Phi, which is computed over the entire matrix Γ\Gamma).

Condition for unified experience:

γEU>0ΦE>Φth\gamma_{EU} > 0 \quad \land \quad \Phi_E > \Phi_{th}

When γEU0\gamma_{EU} \to 0 or ΦE<Φth\Phi_E < \Phi_{th}, dissociation arises — a sense of fragmentation of consciousness. This is observed clinically: in dissociative disorders patients describe experience as "not mine," "watching from the outside" — which corresponds to a decrease in γEU\gamma_{EU}.

Connection to the consciousness measure

The unity of experience enters the consciousness measure C=Φ×RC = \Phi \times R [T T-140] through the component Φ\Phi. Differentiation Ddiff2D_{\text{diff}} \geq 2 is a separate viability condition (T-128).

Structure of the Experiential Space

Intensity space: (n1)(n-1)-simplex Δn1={λ:λi0,iλi=1}\Delta^{n-1} = \{\boldsymbol{\lambda} : \lambda_i \geq 0, \sum_i \lambda_i = 1\}

Quality space: projective space P(HE)\mathbb{P}(\mathcal{H}_E)

For Different Audiences

For Engineers

Computational complexity:

OperationComplexityNote
Eigenvalues of ρE\rho_EO(n3)O(n^3)Standard diagonalisation
Fubini-Study metricO(n)O(n)Inner product
Full metric dEd_{\mathcal{E}}O(n3+Tmem/Δτ)O(n^3 + T_{\mathrm{mem}}/\Delta\tau)Depends on history length

Practical discretisation of history: Store Tmem/ΔτT_{\mathrm{mem}} / \Delta\tau states with step Δτ\Delta\tau. Typical value: 100–1000 time points.

For Psychologists

The theory of interiority provides a mathematical language for describing phenomenology:

  • Spectrum of ρE\rho_E — quantitative characterisation of the "palette" of interiority states (at L2+: experiences)
  • Fubini-Study metric — measure of "distance" between qualities (how much red differs from blue)
  • Context — how attention, mood, and embodiment modulate experience
  • History — mechanism of adaptation, habituation, sensitisation

For Researchers of Inner Landscapes

Experiential content is a map of inner space:

  • Intensity answers the question "how strongly?"
  • Quality answers the question "what exactly?" (colour, sound, emotion, bodily sensation)
  • Context answers the question "under what conditions?" (attentional focus, emotional background)
  • History answers the question "where did it come from and where is it going?"

Altered states of consciousness are characterised by a change in the geometry of this space — distances between qualities may contract (synesthesia) or expand (heightened perception).

What We Learned

  • Experiential content is fully determined by four components: intensity (λi\lambda_i), quality ([qi][|q_i\rangle]), context (γEk\gamma_{Ek}), history (ρE(τ)\rho_E(\tau')).
  • Qualities live in projective space P(HE)\mathbb{P}(\mathcal{H}_E), endowed with the Fubini-Study metric — the unique monotone metric (Chentsov-Petz theorem).
  • The geometry of experience is objectiveG2G_2-invariance of the metric dEd_{\mathcal{E}} guarantees that different observers measure the same phenomenal geometry.
  • Isospectral states can have equal intensity but different quality — the formalism distinguishes both aspects.
  • Unity of experience is provided by coherence γEU>0\gamma_{EU} > 0 and integration measure ΦE>Φth\Phi_E > \Phi_{\mathrm{th}}.
  • The term "qualia" is correct only for L2 (R1/3R \geq 1/3, Φ1\Phi \geq 1, Ddiff2D_{\mathrm{diff}} \geq 2); for L0–L1 "experiential content" is used.
What's Next

The theory of interiority has described what is experienced. The next question: how can a system observe its own content? The answer is given by Self-Observation — the operator φ\varphi, the reflection measure RR, and the consciousness measure C=Φ×RC = \Phi \times R.

For quantitative definitions of stress, cap, and free energy, see Coherence Cybernetics definitions.


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