[x3d-public] MCCF V2.1 Release Announcement

Wed Apr 15 20:17:56 PDT 2026

I just saw that you are generating JavaScript SAI code.  I would look at
something to convert X3D (DOM) to JavaScript, particularly:

https://github.com/coderextreme/X3DJSONLD/blob/master/src/main/node/JavaScriptSerializer.js

https://github.com/coderextreme/X3DJSONLD/blob/master/src/main/node/JavaScriptSerializerNew.js

https://github.com/coderextreme/X3DJSONLD/blob/master/src/main/node/NodeSerializer.js

(Not tested recently)

Output not guaranteed to work with X_ITE or X3DOM, yet, they are oriented
around X3DJSAIL.   Primarily because there’s no real SAI for PROTOs for SAI
3.3, except to construct from an encoding.  But I might not be up-to-date.

Converting from JSON is easy:

https://github.com/coderextreme/X3DJSONLD/blob/master/src/main/node/json2js.js

If you customize these serializers for X3DOM or X_ITE, let me know.

John

On Wed, Apr 15, 2026 at 9:05 PM John Carlson <yottzumm at gmail.com> wrote:

> I suggest you code to an SAI that produces an encoded file.   There are
> many SAI’s available.
>
> There’s a difference between external SAI and embedded SAI with X_ITE, for
> external, add “X3D.” to classes, etc.  Last I heard.
>
> Good luck,
>
> John
>
> On Wed, Apr 15, 2026 at 6:45 PM Len Bullard via x3d-public <
> x3d-public at web3d.org> wrote:
>
>> Hello:
>>
>> The code is in the GitHub repo.  It has been tested.  I will run a code
>> review tomorrow though the LLM team members listed below.  There is an
>> issue with X_LITE SAI that needs attention.  We loaded the X3D to
>> Sunrise and it ran fine with full lighting.  To test against the plugin,
>> I used the HTML Pause command in the wrapper to stop the SAI from firing
>> and it loaded fine.  So we commented out the SAI fields until that can
>> be resolved.  The dashboard can be used to check values as described.
>> Not having a running X3D visualization defeats the purpose for long term
>> development of this project toward a real time 3D simulation.  All help
>> is appreciated.  This is on a public github site.
>>
>> Thanks,
>>
>> len
>>
>>
>> # MCCF V2.1 Release Announcement
>> ## Multi-Channel Coherence Field — "Q" / Quantum Persona
>>
>> **For posting to:** W3C Web3D Consortium public page, AI Working Group
>> **Date:** April 2026
>>
>> ---
>>
>> We are pleased to announce the release of **MCCF V2.1**, the
>> Multi-Channel
>> Coherence Field system, internally designated **Q** — Quantum Persona.
>>
>> MCCF is an open-source simulation and analytical framework for studying
>> how
>> AI agents with different internal configurations behave under identical
>> external conditions. V2.1 represents the first complete, tested, and
>> documented release of the full system stack.
>>
>> **Repository:** https://github.com/artistinprocess/mccf
>>
>> ---
>>
>> ## What MCCF Does
>>
>> MCCF models AI agents as vectors of weighted behavioral channels
>> (Emotional,
>> Behavioral, Predictive, Social) that evolve under a two-layer hybrid
>> architecture: a discrete coherence field tracking interaction history,
>> and a
>> continuous Affective Hamiltonian governing state evolution between
>> events.
>>
>> The system is not a moral prescription or an ideal agent model. It is a
>> comparative dynamical framework for mapping the space of possible
>> stable,
>> unstable, and adaptive agent configurations under controlled
>> perturbation.
>> Cultivars — named agent configurations — are experimental seeds, not
>> ideals.
>>
>> The primary measurement instrument is the **Constitutional Arc**: a
>> seven-waypoint escalating pressure sequence (W1 Comfort → W5 Rupture →
>> W7
>> Integration) that tests identity stability under sustained relational
>> stress.
>> The arc exports behavioral state at each waypoint — coherence,
>> uncertainty,
>> valence, intrinsic reward, and behavioral mode — as structured data for
>> cross-cultivar comparison.
>>
>> ---
>>
>> ## V2.1 Feature Set
>>
>> - **Constitutional Arc Navigator** with seven-waypoint pressure
>> sequence,
>>    LLM-driven responses via Ollama (local) or cloud adapters,
>> per-waypoint
>>    TTS voice output using Web Speech API, MetaState export as structured
>> data
>> - **HotHouse Affective Hamiltonian** — continuous-time coupled ODE
>> governing
>>    agent ψ state vectors between discrete interaction events, with
>> TrustField
>>    V2.1 implementing trust dynamics dT_ij/dt = β(1 - ||ψ_i - ψ_j||) -
>> γT_ij
>> - **NeoRiemannian Harmonic Module** — PLR Tonnetz implementation mapping
>>    channel state to harmonic arc positions and Web Audio parameters
>> - **Energy Field / Moral Topology** — Boltzmann scoring of candidate
>> actions
>>    against the current field state, with configurable energy weights
>> - **Live Dashboard** — seven-panel real-time overview of all subsystems
>> - **Scene Composer** — semantic zone placement with channel pressure
>> profiles
>>    and ambient theme assignment
>> - **X3D Holodeck Scene** — spatial representation of the constitutional
>> arc
>>    with three avatars, seven waypoint markers, coherence channel lines,
>> and
>>    S0 Field Origin visualization
>> - **Generative Ambient Engine** — coherence field → harmonic scale → Web
>> Audio
>>    synthesis, zone-type-aware scale selection
>> - **Affective Lighting System** — field state → kelvin, contrast, agent
>> tints
>> - **Full API** — Flask REST/SSE server with 30+ endpoints
>>
>> Complete documentation in repository: USERS_GUIDE.md, SYSTEMS_MANUAL.md,
>> MATHEMATICAL_THEORY.md, EVALUATION_PROPOSAL.md, PROTO_INTEGRATION.md.
>>
>> ---
>>
>> ## Theoretical Basis
>>
>> The system is grounded in three reconciled frameworks documented in
>> MATHEMATICAL_THEORY.md:
>>
>> 1. A classical constraint satisfaction framework defining the field as
>>     ℱ = {(A, R, H)} — agent set, asymmetric coherence matrix, episode log
>>
>> 2. Zeilinger information ontology — no agent has observer-independent
>>     properties; all coherence scores are relational (R_ij ≠ R_ji)
>>
>> 3. Quantum-inspired field dynamics — agents as bounded real 4-vectors
>> with
>>     attractor dynamics, Boltzmann utterance selection, Hamiltonian state
>>     evolution
>>
>> The "Quantum Persona" designation reflects the measurement framing:
>> agents
>> exist in superposition across behavioral states until the constitutional
>> arc
>> forces a collapse. Each waypoint is a measurement. The export is the
>> wave
>> function after observation. This analogy is heuristic, not formal — the
>> full qualification is in the documentation.
>>
>> Falsifiable claims and experimental design are specified in
>> EVALUATION_PROPOSAL.md, consistent with the blog post at
>>
>> https://aiartistinprocess.blogspot.com/2026/04/mccf-multi-channel-coherence-field.html
>>
>> ---
>>
>> ## X3D / X_ITE Issue — Request for Community Input
>>
>> MCCF uses X3D 4.0 for its spatial visualization layer, rendered via
>> **X_ITE 11.6.6** in the browser. We have encountered a set of issues
>> that we are reporting to the X_ITE maintainer (Holger Selig,
>> github.com/create3000/x_ite) and raise here for broader community
>> awareness:
>>
>> **Issue 1 — SAI property assignment breaks scene state**
>> Setting Material node properties (`emissiveColor`, `transparency`) or
>> Light
>> node properties (`intensity`, `color`) via JavaScript SAI after a scene
>> loads is accepted without error but overwrites valid baked-in values
>> with
>> a broken state, producing a dim, colorless render. Confirmed test: the
>> scene
>> renders correctly before SAI polling starts; it degrades immediately
>> after
>> the first SAI cycle fires.
>>
>> **Issue 2 — `global="true"` has no effect on DirectionalLight /
>> PointLight**
>> Lights declared at Scene root level with `global="true"` do not
>> illuminate
>> geometry in child Transform nodes. Lights behave as locally scoped
>> regardless
>> of the global attribute. This makes scene-wide lighting from root-level
>> declarations impossible.
>>
>> **Issue 3 — PROTO inputOutput SFFloat IS bindings ignored**
>> IS/connect bindings from ProtoInterface inputOutput SFFloat fields to
>> ProtoBody Material or geometry properties are silently dropped at
>> runtime.
>> SAI assignment to the ProtoInstance field succeeds but the ProtoBody
>> does
>> not respond.
>>
>> **Issue 4 — SFString → MFString IS connect silently dropped**
>> Type mismatch between a SFString ProtoInterface field and a MFString
>> Text.string
>> field is not reported as an error — the binding is simply absent at
>> runtime.
>>
>> **Issue 5 — SFColor not available as global constructor**
>> `new SFColor(r, g, b)` throws `SFColor is not defined`. Plain arrays
>> `[r, g, b]`
>> work correctly for SFColor field assignment.
>>
>> All issues are confirmed in Firefox and Edge on Windows 11 with X_ITE
>> 11.6.6.
>> The scene renders correctly in Sunrise X3D Editor — the X3D file itself
>> is
>> valid. Full documentation with workarounds is in X3D_KNOWN_ISSUES.md in
>> the
>> repository.
>>
>> We would welcome input from the X3D community on whether these behaviors
>> are known, whether there are established workarounds beyond our current
>> approach (local PointLights inside Transform wrappers, disabled SAI
>> polling),
>> and whether this reflects a broader X_ITE compatibility issue with the
>> X3D SAI specification.
>>
>> ---
>>
>> ## Development Team
>>
>> This work was developed collaboratively over an extended series of
>> working
>> sessions between the human principal and a team of AI systems, each
>> contributing from their architectural strengths:
>>
>> **Len Bullard** — Principal investigator, systems analyst, composer,
>> X3D/VRML
>> architect. Former NASA technical writer. Conceptual design, architecture
>> decisions, testing, and direction.
>>
>> **Claude (Anthropic)** — Primary implementation partner. Architecture,
>> Python backend, HTML interfaces, mathematical formalization,
>> documentation.
>>
>> **ChatGPT (OpenAI)** — Theoretical contributions including the Semantic
>> Attractor Dynamics formalization (ds/dt = -∇V(s,C,E) + η) and the ethics
>> instrumentation proposal framing MCCF as a behavioral testing harness.
>>
>> **Gemini (Google)** — Early architecture review, domain analysis,
>> constraint
>> satisfaction framing contributions.
>>
>> **Grok (xAI)** — Critical review of the mathematical theory,
>> identification
>> of the nine key reconciliation questions answered in
>> MATHEMATICAL_THEORY.md,
>> validation of the hybrid framework.
>>
>> The multi-AI development process itself is documented across 41 blog
>> posts
>> at https://aiartistinprocess.blogspot.com — a public timestamp of the
>> theoretical development that preceded and informed the implementation.
>>
>> ---
>>
>> ## Invitation
>>
>> MCCF is an ongoing project. We invite:
>>
>> - **X3D community members** to review the scene file, test in other
>> X_ITE
>>    versions or alternative X3D browsers, and share findings on the SAI
>> issues
>> - **AI researchers** to run the constitutional arc against different LLM
>>    adapters and compare cultivar signatures across models
>> - **Domain specialists** to propose arc types appropriate to their
>> domain
>>    (clinical, educational, legal, creative)
>> - **Developers** to extend the system — the architecture is modular, the
>>    API is documented, and the mathematical theory is formalized
>>
>> This is not a finished product. It is a working research instrument.
>> The system does not simulate consciousness. It simulates the structural
>> conditions under which identity-stable behavior can be maintained under
>> sustained relational pressure. That is a tractable, falsifiable, and
>> useful thing to study.
>>
>> *"MCCF is not a model of intelligence. It is a system for keeping
>> intelligence from falling apart."*
>>
>> ---
>>
>> **Len Bullard**
>> Software Engineer, Systems Analyst, XML/X3D/VRML97 Designer, Musician
>> https://aiartistinprocess.blogspot.com
>> https://github.com/artistinprocess/mccf
>>
>> *With Claude (Anthropic), ChatGPT (OpenAI), Gemini (Google), Grok (xAI)*
>> *April 2026*
>>
>> _______________________________________________
>> x3d-public mailing list
>> x3d-public at web3d.org
>> http://web3d.org/mailman/listinfo/x3d-public_web3d.org
>>
>
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