# Living Systems in Motion

### A Simulation Series in Three Iterations

*Humanity++ · Karen Doore · April 2026* *CC BY-SA 4.0*

***

This page documents three interactive simulations built to make the Vital Intelligence Model's dynamic claims visible — not as diagrams, but as living systems you can manipulate in real time. They were built iteratively across two months, each version responding to what the previous one could not show. The series is also a record of the design methodology the framework itself describes: **emergence guided, not predetermined.**

Before reading the explanations: open a simulation. Move the sliders. Watch what happens. The simulations are designed to produce a felt sense before they produce a named concept. That sequence is intentional — it is the framework's own pedagogy made operational.

***

### Earlier simulation work: the GitHub repository

This series builds on a prior phase of open-source interactive modeling documented at the [**Humanity++ GitHub Pages repository**](https://kdoore.github.io/HumanityPlusPlus/index.html)**.**

That repository includes: the Dashboard Dials instrument panel (four instruments as an interactive navigational checklist); two iterations of Markov Blanket simulations of the permeable membrane between self and information ecosystem; DIKW Toroid models expressing the full knowledge stack as a living system with phase-locking across individual, group, and ecosystem scales; an Ising Model kindness field showing cascade dynamics and the avalanche of kindness at critical temperature; and a capstone Human ↔ AI Coupling simulation in which two toroids face each other across the MPCM boundary — AI signals arriving constantly at the human boundary, but what crosses and what it becomes depending entirely on the human's somatic coherence, epistemic aperture, and relational trust.

Those earlier models established the conceptual architecture. The bioluminescent simulations documented here represent a shift in register: from analytical visualization toward contemplative and embodied experience — a shift from diagram to field.

***

### The two field parameters: Consciousness Capital and Kindness Field

Before describing the simulations, two core calculations need to be named explicitly. They appear as readouts in each simulation and govern almost everything the agents do. Understanding them is the difference between watching the simulation and reading it.

#### Consciousness Capital (CC): individual integration

\*\*CC = ♠ somatic (0.40) + ♦ epistemic (0.35) + ♥ relational (0.15)

* ♣ temporal (0.10)\*\*

Consciousness Capital is a weighted integration of all four instrument readings. It represents the *individual agent's* developed capacity — how much it can perceive, how brightly it signals, how long a trace it leaves, how responsively it moves.

In the simulation, CC governs:

* Bioluminescent glow brightness — higher CC agents glow more intensely
* Trail length — high CC agents leave longer phosphorescent traces
* Responsiveness to field conditions
* Cascade recruitment rate — CC multiplies the kindness recruitment force, so high-CC kindness agents recruit faster

The weighting is a theoretical claim, not an arbitrary choice:

**♠ Somatic carries the highest weight (0.40)** because the body's regulatory state is architecturally prior to all other instruments. A learner with high cognitive clarity and strong relational connection but low somatic coherence — dysregulated, dissociated, fatigued — cannot sustain the threshold-crossing that genuine transformation requires. The body is the precondition, not a supplement. This is why the somatic slider also repositions the MPCM boundary line vertically: somatic state determines *where the threshold sits*, not merely whether a given agent crosses it.

**♦ Epistemic aperture is second (0.35)** because the capacity to hold genuine uncertainty — to keep the TIF I-register open — is the cognitive instrument most directly relevant to learning at the edge of the known. Without epistemic aperture, high somatic coherence produces calm certainty rather than generative not-knowing.

**♥ Relational trust carries a lower weight in CC (0.15)** than might be expected. This is structural, not an oversight: relational trust matters most at the *field* level, not the individual capital level. It appears with the highest weight in the kindness field formula below.

**♣ Temporal depth carries the lowest weight (0.10)** in immediate CC calculation. Its effect compounds over time rather than producing dramatic moment-to-moment change — the seven-generation horizon does not shift the field quickly, but prevents reversion when conditions fluctuate.

*\[These weights are design assumptions encoding the VIM framework's theoretical claims. They are not empirically derived. Tier 2 — theoretically coherent; validation against physiological or behavioral measures is an open research question.]*

***

#### Kindness Field (kf): collective field condition

**kf = ♥ relational (0.45) + ♣ temporal (0.30) + ♠ somatic (0.25)**

The kindness field is a different calculation from CC — and the difference matters fundamentally.

Notice what is absent: **♦ epistemic aperture does not appear in the kf formula.** Individual cognitive capacity does not directly determine the field condition. What determines it is relational trust (primary), temporal depth (secondary), and somatic coherence (tertiary). The field is built through relationship, sustained through long time horizons, and grounded in body.

The kindness field governs:

* Attractor basin accessibility — high kf makes the Commitment Pool easier to reach; low kf deepens the Giant Pumpkin's pull
* Cascade recruitment rate — kf multiplies the kindness infection force across agents
* MPCM boundary permeability — high kf strengthens the boundary's repulsion of extraction agents and attraction of kindness agents
* Murmuration coherence (v3) — flocking behavior scales with kf; collective intelligence requires a collective field

#### Individual capacity versus collective field: the key distinction

|                         | Consciousness Capital (CC)                 | Kindness Field (kf)                                     |
| ----------------------- | ------------------------------------------ | ------------------------------------------------------- |
| **What it measures**    | Individual agent capacity                  | Collective field condition                              |
| **Primary driver**      | ♠ Somatic coherence                        | ♥ Relational trust                                      |
| **Absent from formula** | —                                          | ♦ Epistemic aperture                                    |
| **What it governs**     | Glow, trail, responsiveness, cascade power | Basin accessibility, boundary permeability, murmuration |
| **Commons parallel**    | Individual capability                      | Shared institutional environment                        |
| **Time scale**          | Immediate                                  | Accumulates over time                                   |

The simulation makes a structural claim visible that is easy to miss in text: **a high-CC agent in a low-kf field is isolated and ineffective.** It glows brightly but cannot recruit, cannot cross the boundary, cannot sustain murmuration. Its individual capacity is real but insufficient.

Conversely, **a low-CC agent in a high-kf field gets carried.** The commons compensates for individual limitation. The field condition that relational trust, temporal depth, and somatic grounding produce together is more powerful than any individual's developed capacities.

This is Ostrom's commons argument expressed as field physics. And it is the simulation's most important structural insight: the conditions we build together matter more than the capacities we develop alone. The instruments are necessary; the field is primary.

A third dynamic emerges from this: **individual and collective energies interact across attractor fields in non-additive ways.** Under low-kf conditions, even high-CC kindness agents may drift toward the Giant Pumpkin — the extraction basin deepens regardless of individual orientation when the field is weak. Under high-kf conditions, even low-CC neutral agents get recruited upward by the collective momentum. The attractor field is not the sum of individual trajectories. It is a level of organization above them — which is what makes it both the primary target for intervention and the hardest thing to change through individual effort alone.

*\[The CC/kf distinction is Tier 2 — theoretically coherent with VIM instrument architecture, active inference, and Ostrom commons governance. The specific numerical weights are design assumptions requiring empirical validation. The individual/collective non-additivity claim is Tier 2–3: consistent with complexity science attractor theory; not yet formally derived from the simulation's physics.]*

***

### Simulation 1 — VIM Consciousness Field Simulator

**→** [**Launch Simulation 1**](https://claude.ai/public/artifacts/0499102b-6fbf-4e6b-9c9f-e64e15e38e1c)

*Light theme · particle agents · analytical register · March 2026*

The first simulation establishes the four-instrument panel as an interactive object. Four sliders set field conditions determining which attractor basin the system moves toward. Three agent types operate simultaneously: red extraction agents pulling toward the Giant Pumpkin, green kindness agents seeding the Commitment Pool, gray neutral agents following the dominant field condition.

**What it shows:**

* The two attractor basins as competing gravitational fields, placed side by side — equal visual weight, equal apparent accessibility
* The noise bar reading from brown (rigid, frozen — S0/S4) to pink (alive, adaptive — S3): pink noise is the health signature of complex adaptive systems
* Six MDP state presets dropping the field into each configuration
* Real-time readout of CC, kf, and current MDP state

**What to try:** Hit S0 — frozen order. Then slowly raise ♥ relational trust while watching the noise bar. The shift from brown to mixed to pink is the kindness field activating. Notice that the Giant Pumpkin never empties — extraction dynamics are never fully eliminated, only outweighed.

**What it could not show:** the mechanism of transformation. At S3 with all dials maxed, agents coexisted near both basins but no visible migration occurred. The kindness field was present but the *cascade* — the nonlinear recruitment dynamic that makes prosocial transformation qualitatively different from mere dial adjustment — was invisible. And the horizontal layout made both attractor basins appear equally accessible. They are not.

***

### Simulation 2 — Bioluminescent Field

**→** [**Launch Simulation 2**](https://claude.ai/public/artifacts/0267060f-2371-43d6-b8d2-dadedd6d76cc)

*Dark ocean · fluid dynamics · contemplative register · April 2026*

Built to make the cascade visible. Curl noise flow field replaces particle dynamics — agents now follow invisible ocean currents that shift slowly over time, governed by fluid dynamics rather than random walk. Fish-shaped agents face the direction of travel; bioluminescent glow encodes CC level directly.

**The cascade is real.** When kindness fish come within range of neutral fish, they gradually shift them — individual agents convert from grey-teal to green in real time. Conversion rate scales with ♥ relational trust. The kindness cascade meter tracks what fraction of the field has been recruited.

**The MPCM boundary does something.** The faint luminous horizon line is not decorative. Extraction fish feel soft repulsion from crossing it; kindness fish receive extra pull toward the Commitment Pool once they cross. When kindness agents are near the boundary, it visibly brightens — the boundary itself becomes more legible as more kindness capacity approaches it.

**Demo mode plays the full arc.** Hit *▶ watch the cascade* and the simulation runs: S0 frozen order → T01 first crack → S1 productive disequilibration → T23 nucleation → S3 holarchic flow → cascade deepens. Speed 6–7 gives the clearest teaching arc.

**Emergent finding during testing:** extraction agents with sufficient momentum from the Giant Pumpkin's gravitational pull cross the MPCM boundary anyway when the kindness field is weak. The repulsion force is real but requires a strong kf to overcome attractor momentum. The MPCM boundary only holds structurally when the kindness field is sufficiently strong. A kindness boundary that is merely declared is not a boundary at all.

**What it could not show:** the *vertical* asymmetry of the two attractors. Both basins floated at roughly the same height. The simulation did not yet make visible that the extraction attractor is a *low-energy default* — something organisms fall into under stress — while the kindness attractor requires genuine upward effort.

***

### Simulation 3 — Resonant Field

**→**[ **Launch Simulation 3**](https://kdoore.github.io/HumanityPlusPlus/vim_bioluminescent_v3.html)

*Dark ocean · resonance field · murmuration · biofeedback register · April 2026*

Built in response to feedback from a studio arts presentation: the Giant Pumpkin should be *lower*, because extraction is the low-energy basin that things fall into under stress, and the kindness attractor requires effort — like hill climbing. This observation is structurally correct and changes everything about how the simulation teaches.

#### What changed

**Vertical attractor orientation.** Giant Pumpkin now occupies the lower screen basin. Commitment Pool occupies the upper screen. The MPCM boundary is a horizontal threshold. Agents must swim *upward* to enter the kindness field. *<mark style="color:$primary;">**Under high stress, the lower basin deepens and brightens — the extraction attractor becomes more powerful precisely when organisms are most depleted. This is the current moment's dynamic made visible: spectacular dysfunction and addictive extraction work precisely as low-energy attractors during periods of collective stress and unprocessed trauma.**</mark>*

**The somatic slider repositions the boundary.** As described above: low somatic coherence drops the MPCM boundary line, compressing the kindness basin. High somatic coherence raises the boundary toward center, making the kindness field more accessible. The body's regulatory state determines where the threshold sits — not just whether an individual crosses it.

**Resonance field background.** A second visual layer renders an interference pattern as a fluid color gradient — representing the idea, developed across multiple theoretical traditions, that coherent relational fields produce structural effects in the systems embedded within them. When resonance coherence is high and ambient stress is low, this layer becomes blue-teal iridescence: standing wave patterns, distributed and self-similar. When stress rises, it fragments into amber-red noise. Agents swim within this field — it is the water they live in, not a label on top of them.

A known rendering artifact: faint transient grid lines — horizontal, vertical, and occasionally diagonal — appear in stressed states (S0, S1, S4, S5) and are largely absent in S2 and S3. These are pixel boundary seams produced by upscaling the resonance field from a low-resolution offscreen canvas; they become visible when stress creates sharp value transitions near pixel edges. They are not a designed feature. Their visual effect is not without interest — they read as structural fragmentation legible only in impoverished field states — but their meaning is indeterminate and their origin is technical. Flagged for resolution or reframing in v4.

**Murmuration dynamics.** When the kindness field is strong, stress is low, and the murmuration slider is active, agents develop flocking coherence — alignment, cohesion, separation — layered onto the fluid dynamics. The school moves as a body. Under high stress, cohesion breaks regardless of the murmuration setting. The field condition determines whether collective intelligence is structurally possible. This is the whale parallel made computational: twenty million years of cultural transmission required a field condition — proximity, cooperative care, collective holding — not only individual capacity.

**Two biofeedback-register sliders (shown in blue):**

| Slider                 | Represents                           | Drives                                                                 |
| ---------------------- | ------------------------------------ | ---------------------------------------------------------------------- |
| ◈ ambient field stress | Environmental / somatic stress level | GP basin depth; scatter; trail shortening; resonance fragmentation     |
| ◎ resonance coherence  | Degree of field coherence            | Interference pattern; blue-teal iridescence; murmuration amplification |

These sliders represent what a physiological biofeedback signal — HRV, EEG coherence, galvanic skin response — could drive if the simulation were connected to a sensing device. They are currently controlled manually. That is an honest description of their status: a design hypothesis, not an implemented feature. The imagination of the integration is itself pedagogically useful: it makes the relationship between individual physiological state and collective field behavior thinkable before it is technically realizable.

An optional microphone input layer extends this logic into the acoustic environment of the room. When enabled, the ambient sound level detected by the device's microphone feeds directly into the stress parameter — loud, chaotic, or percussive sound increases ambient field stress; quiet, sustained, or harmonically coherent sound allows it to decrease. The resonance field background, the murmuration behavior, and the extraction basin depth all respond accordingly. In a calm room, or one filled with harmonic sound — singing bowls, sustained vocal tones, or the kind of slow rhythmic structure found in whale song — agents tend toward murmuration and the resonance field becomes coherent. In a noisy or dysregulated environment, agents scatter into feeding-frenzy dynamics and the field fragments.

This creates a category of learning encounter that is not possible with slider-only interaction: the room itself becomes a participant in the simulation. A group of learners who quieten together, breathe together, or produce coherent sound together will watch the field respond to their collective regulation in real time — without anyone touching a slider. The field change is not caused by an individual's cognitive decision but by a shared somatic event. This makes the individual/collective distinction felt rather than explained: the simulation does not change because one person decided to be calm. It changes when the field does.

For projection-mapped immersive environments — using tools such as MadMapper for surface projection — this sound-reactive layer becomes the primary interface. The audience does not interact with sliders at all. The installation responds to the acoustic field the gathering produces. A loud, fragmented, or stressed group produces a fragmented visual field; a group that moves toward collective coherence watches the field reorganize around them. The simulation becomes a mirror for the commons the room is — or is not yet — capable of producing.

Sound reactivity via Web Audio API is implemented as an optional feature requiring microphone access. Browser iframe sandboxing may restrict microphone permission in some contexts — the simulation falls back gracefully to slider control if access is denied. Testing in a standard browser environment is recommended before use in a live installation.

**What to try:**

* Set S5 (dissolution) — watch the GP basin consume the field. Raise ♥ relational trust very slowly. Notice the threshold: there is a point at which the field begins to tip.
* Set S3 (holarchic flow) — raise the murmuration slider. Watch whether the school begins to move as a body. Then spike the stress slider. Watch murmuration break.
* Run demo mode all the way through at speed 5. Watch the resonance field shift from absent to coherent as the cascade completes.

***

### TIF critique: what these simulations cannot claim

The simulations are pedagogical instruments. The following critique is not a disclaimer — it is the discernment practice applied to the work itself.

#### What is well-supported (T)

The visual metaphors are internally consistent with VIM's theoretical claims. Attractor basin dynamics are structurally analogous to how complex systems behave near critical transitions *(Scheffer et al., 2009 — Tier 1)*. The stress/parasympathetic/collective-behavior relationship is grounded in polyvagal theory *(Porges, 2011 — Tier 1)* and HRV literature. The CC/kf formulas are theoretically coherent with active inference and Ostrom commons governance *(Tier 2)*.

#### What remains genuinely unknown (I)

Whether slider values correspond to anything measurable in real human or social systems is unknown. The weightings in CC and kf are design assumptions encoding theoretical priors — not empirically derived parameters. A research protocol validating these weights against physiological or behavioral measures would be a meaningful contribution; none currently exists.

Whether the individual/collective non-additivity visible in the simulation reflects the actual dynamics of human attractor fields — or is an artifact of how the physics was implemented — is an open question. The simulation shows the pattern; it does not derive it from empirical data. *(Tier 2–3)*

Whether murmuration dynamics here are structurally homologous to real collective intelligence in biological systems — beyond the shared Boids algorithmic ancestry — is not established. *(Tier 2–3)*

#### What the simulations do not show (F — handled carefully)

The simulations **do not** demonstrate that kindness causes murmuration, or that relational trust causes cascade. They demonstrate that the same parameter values driving kindness-field strength in this model also drive flocking coherence and recruitment dynamics. These are design choices that encode theoretical claims. They are not empirical discoveries.

The simulations **do not** show:

* The felt sense in your body as you watch the field shift
* The specific history of the living system in front of you
* The difference between a kindness field that is performed and one that is structurally present
* The seven-generation temporal horizon — all three simulations operate in the immediate present
* The somatic z-axis — the lived, embodied experience of disequilibration that the framework places at the center of transformation

These are not gaps to fix in the next version. They are the location of human agency — the reason the MPCM boundary exists, and the reason the instrument panel always points beyond itself toward embodied, relational, somatic life.

#### The aesthetic blindspot — named explicitly

The visual language of these simulations is beautiful. Bioluminescent ocean, blue iridescence for coherence, amber-red fragmentation for stress. That beauty is not neutral — it associates the kindness attractor with aesthetically positive experience before the viewer has engaged with it structurally. This is soft persuasion embedded in design choices. The framework's own principle applies: **amplification is always active.** Naming this is the discernment practice made visible, applied to itself.

***

### Using these in a learning context

**As an opening:** Run the demo arc in Simulation 2 or 3 with no explanation. Ask learners what they noticed. Name the states afterward. The body registers the attractor dynamics before the framework labels them.

**As a diagnostic:** Ask learners to set the sliders to match how their *information environment* feels right now — not how they feel personally, but the field they spend most time in. What attractor basin does their configuration produce? Where does the MPCM boundary sit?

**As a closing:** Return to a simulation after a learning experience. Has anything shifted? Which slider moved most? The body knows before the framework names it.

**For the CC/kf distinction:** Ask learners: which slider do you have the most individual control over? (Likely somatic or epistemic.) Which slider do you have the least individual control over? (Likely relational — it requires others.) What does that mean for where you invest your energy?

**For the individual/collective tension:** Run Simulation 3 with a single high-CC kindness agent (conceptually) in a low-kf field. Ask: what can that agent accomplish alone? Then raise the kf. Ask: what changed — and who changed it?

**The one question that applies at every preset:**

> *Does this open movement, or close it?*

***

### What comes next: toward an immersive environment

This simulation series is design space exploration for a larger imagined experience: a sound-reactive, projection-mapped immersive environment — potentially using MadMapper for surface projection — in which the resonance field, murmuration dynamics, and attractor basin behavior respond to the ambient acoustic environment of the room, and optionally to physiological biofeedback from participants.

In that environment:

* A calm room, harmonious sound, physiological coherence → agents move in murmuration, resonance field coherent, kindness basin accessible
* Noise, distress, or sympathetic activation → agents scatter, resonance field fragments, extraction basin deepens

Future iterations may include jellyfish body types, koi color palettes, and reaction-diffusion (Turing morphogenesis) patterns as an alternative background to the current interference field. Each aesthetic choice is an experiment in which pre-symbolic entry point most effectively opens the learner to the structural argument.

The simulation is always a finger pointing at the moon. The moon is the living system you already inhabit.

***

### Epistemic status

<table><thead><tr><th width="229.75">Claim</th><th width="105.68359375">Tier</th><th>Note</th></tr></thead><tbody><tr><td>Four instruments govern field condition</td><td>Tier 2</td><td>Theoretically coherent; consistent with active inference and commons governance</td></tr><tr><td>CC formula weighting</td><td>Tier 2</td><td>Encodes VIM theoretical priors; not empirically derived; validation is open research question</td></tr><tr><td>kf formula weighting</td><td>Tier 2</td><td>Same; relational trust primary in field, not individual, register — theoretically motivated</td></tr><tr><td>Epistemic aperture absent from kf</td><td>Tier 2</td><td>Deliberate design claim: cognitive capacity does not directly determine field condition</td></tr><tr><td>Individual/collective non-additivity in attractor fields</td><td>Tier 2–3</td><td>Consistent with complexity science; not formally derived from simulation physics</td></tr><tr><td>Pink noise as S3 health signature</td><td>Tier 1–2</td><td>Empirically established in complex systems; social application Tier 2</td></tr><tr><td>Kindness cascade as nonlinear recruitment</td><td>Tier 2–3</td><td>Consistent with social contagion literature; simulation implementation Tier 3</td></tr><tr><td>MPCM boundary permeability as field-dependent</td><td>Tier 3</td><td>Emergent from simulation; generative observation, not formal derivation</td></tr><tr><td>Stress amplifies extraction basin depth</td><td>Tier 1–2</td><td>Polyvagal / HRV literature; simulation implementation Tier 3</td></tr><tr><td>Resonance field as morphogenetic field analog</td><td>Tier 3</td><td>Aesthetic/structural analogy; not derived from field theory models</td></tr><tr><td>Murmuration as prosocial field emergent property</td><td>Tier 2–3</td><td>Boids algorithm Tier 1; social homology claim Tier 3</td></tr><tr><td>Somatic slider repositions MPCM boundary</td><td>Tier 2</td><td>Encoded in simulation physics; theoretical claim about somatic primacy</td></tr><tr><td>Biofeedback slider as HRV integration prototype</td><td>Tier 3</td><td>Design hypothesis; not implemented; requires hardware + research protocol</td></tr><tr><td>Sound reactivity as collective somatic mirror</td><td>Tier 3</td><td>Design hypothesis; microphone access browser-dependent; pedagogical effect not empirically tested</td></tr><tr><td>Transient grid lines visible in stressed states</td><td>Tier 1 (rendering artifact)</td><td>Caused by 5x upscaling of low-resolution offscreen resonance field canvas; pixel boundary seams become visible under sharp wave transitions; not a designed feature; meaning is indeterminate — flagged for investigation or resolution in v4</td></tr><tr><td>Aesthetic design choices as values decisions</td><td>Tier 2</td><td>Consistent with amplification principle; specific perceptual effects not studied</td></tr></tbody></table>

***

***

*Simulation 1 built March 31, 2026* *Simulation 2 built April 13, 2026* *Simulation 3 built April 15, 2026* *All built using Claude Artifacts (Anthropic) as the development environment* *Earlier simulations:* [*Humanity++ GitHub Pages*](https://kdoore.github.io/HumanityPlusPlus/index.html) *The iterative process is itself a demonstration of the framework: emergence guided, not predetermined*

*Previous:* [*Modeling Holarchic Transformations*](https://claude.ai/chat/link) *Next:* [*TKGPT System Prompt v0.3*](https://claude.ai/chat/link)

***

*Humanity++ | CC BY-SA 4.0* *Repository: <https://kdoore.github.io/HumanityPlusPlus>* *GitBook: <https://kdoore.gitbook.io/vital-intelligence>* *Draft: April 2026 — SR3 Section*

***

© 2026 [**Humanity++**](https://www.humanityplusplus.com)**,** [**Vital Intelligence Model**](http://www.humanityplusplus.com/vital-intelligence)\
This work is licensed under\
[Creative Commons Attribution‑ShareAlike 4.0 International (CC BY‑NC-SA 4.0)](https://creativecommons.org/licenses/by-sa/4.0/).


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