Are the Implicit Models Also Virtual?¶
The theory classifies the implicit models (IWM, ISM) as "real side" — but they are models, not raw physics. If they have virtual properties, the real/virtual boundary shifts, and the consequences for the Hard Problem dissolution may be significant.
The real/virtual split is the theory's foundational ontological division: implicit models (IWM, ISM) on the real side, explicit models (EWM, ESM) on the virtual side. The real side is physical, structural, learned, and non-conscious. The virtual side is generated, transient, and phenomenal. The Hard Problem dissolution rests on this split: qualia exist at the virtual level, and seeking them at the substrate level is a category error.
But the implicit models are not raw neurons. They are models — structured representations of the world and the self, stored in synaptic weights, connectivity patterns, and distributed encodings. They have a level of description (model-level, not physical-level) that makes them more than bare physics. If they have virtual properties in some sense, the question arises: what, exactly, constitutes the "real side"?
Three Possible Resolutions¶
The Sharp Boundary View¶
The current formulation maintains a sharp boundary: implicit models are substrate-level structures (synaptic weights, connectivity patterns) that encode information but do not generate phenomenal experience. They are "real" in the sense that they are physically instantiated and persist between conscious episodes. The explicit models are "virtual" because they are actively generated, transient, and phenomenal. On this view, the real/virtual distinction tracks the difference between stored structure and active computation — between the program on disk and the program in memory.
The Graded Boundary View¶
An alternative is that the real/virtual distinction is graded rather than sharp. The implicit models may have some virtual properties — they are, after all, modeling structures that represent rather than simply being. The IWM does not contain the world; it contains a model of the world. The ISM does not contain the self; it contains a model of the self. If "virtual" means "representational, existing at a level of description above the physical substrate," then the implicit models are virtual in this broader sense. The sharp real/virtual boundary softens into a continuum from "more physical" (raw substrate) through "structured but non-conscious" (implicit models) to "fully virtual and phenomenal" (explicit models).
The Recursive View¶
The most radical possibility is that the real/virtual distinction is relative rather than absolute — that "real" and "virtual" are always defined relative to a particular level of description. The implicit models are real relative to the explicit models (they are the substrate on which the explicit models run) but virtual relative to the raw physical substrate (they are modeling structures, not raw physics). This would align with the five-system hierarchy, in which each level is both "substrate" for the level above and "computation" on the level below.
Consequences for the Hard Problem Dissolution¶
If the implicit models have virtual properties, the Hard Problem dissolution must be re-examined:
If the boundary is sharp (current formulation), the dissolution works as stated: qualia are constitutive properties of the virtual level, and the Hard Problem is a category error that seeks virtual properties at the substrate level.
If the boundary is graded, the dissolution still works but requires a more nuanced formulation: qualia are constitutive properties of a specific kind of virtual processing (active, phenomenal, self-referential), not of modeling structures in general. The IWM is virtual in the modeling sense but not in the phenomenal sense. What makes the explicit models phenomenal is not merely that they are virtual but that they are self-referentially closed — the self-referential closure that makes the system model itself modeling.
If the boundary is recursive, the Hard Problem dissolution requires a theory of what makes a level of virtuality phenomenal — why the EWM/ESM level has experience while the IWM/ISM level does not, given that both are "virtual" in some sense. Self-referential closure remains the strongest candidate: phenomenality emerges not from virtuality per se but from the specific configuration in which the virtual system models itself.
Why This Matters¶
This is not a trivial taxonomic question. The theory's explanatory power depends on a clear distinction between what is conscious and what is not. If the boundary blurs, the theory must specify what additional property (beyond being a model) makes a model phenomenal. Self-referential closure is the most natural answer within the existing framework — but this has not been formally demonstrated, and doing so is part of the broader mathematical formalization agenda.
Figure¶
graph TB
subgraph "Where is the Real/Virtual Boundary?"
RAW["Raw Physics<br/>(neurons, ions, voltage)"]
IMP["Implicit Models<br/>(IWM, ISM)<br/>Structured, persistent,<br/>non-conscious"]
EXP["Explicit Models<br/>(EWM, ESM)<br/>Generated, transient,<br/>phenomenal"]
end
RAW -->|"Sharp view:<br/>boundary here ↑"| IMP
IMP -->|"All views agree:<br/>boundary here ↑"| EXP
RAW -.->|"Recursive view:<br/>'real' is relative<br/>to each level"| EXP
style RAW fill:#2d6a4f,stroke:#52b788,color:#fff
style IMP fill:#1a1a2e,stroke:#e94560,color:#fff
style EXP fill:#4a148c,stroke:#e94560,color:#fff
Three possible locations for the real/virtual boundary. The sharp view (current FMT) places it between implicit and explicit models. The graded view treats it as a continuum from raw physics through structured models to phenomenal simulation. The recursive view makes "real" and "virtual" relative to the level of description.
Key Takeaway¶
The implicit models are models, not raw physics — which means the real/virtual boundary may be less sharp than the current formulation assumes. Resolving this question is unlikely to undermine the Hard Problem dissolution (self-referential closure likely does the explanatory work), but it may refine the theory's ontology and constrain the space of possible minimum configurations for consciousness.