[x3d-public] MCCF V2.1 Release Announcement

[John Carlson]

I did make a half-hearted attempt to convert DOM to “VRMLScript” as X_ITE
(Cobweb) script was called.  But for some reason, I quit when I got to
Protos for some reason, probably to wait for SAI 4.0.

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

If your interest remains, I can revisit this, maybe apply AI or SAI 4.0 to
it.

John

On Wed, Apr 15, 2026 at 10:17 PM John Carlson <yottzumm at gmail.com> wrote:

> 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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