Artificial systems, embodiment, and recursive cognition

22.1 The relevant implementation is active

Artificial consciousness is possible in principle within the substrate-open constitution, but it is not demonstrated here. Current LLM chat sessions are not treated as certified vessels. A real application requires a justified $R^\ast$, including persistence, native instruments and endogenous organization; fluent surface language supplies none of those certificates by itself. Minimal concern may motivate a later formal refinement, but it is not an additional admission condition in this edition.

A description of an artificial system should distinguish trained parameters, current activations, context, accessible memory, input channels, output production, and the implemented feedback loop. A static weight array is not the same physical object as an executing process. Nor is a text transcript by itself the complete causal state of an agent. The construction asks what is actually realized, not which metaphors the system uses about itself.

Theory-based indicator approaches provide one route to assessing artificial systems. Butlin and colleagues examine properties drawn from scientific theories of consciousness rather than treating persuasive self-report as sufficient evidence [8]. A contrasting biological-naturalist position emphasizes that reproducing an abstract computation may not reproduce all consciousness-relevant properties of living systems [47]. These are substantive competing approaches; neither is adopted here as an independently established verdict about every artificial implementation.

Within A1–A2, the invariance claim is conditional on preserving the selected causal and predictive organization. It requires more than similarity of outputs. It neither privileges a material category by itself nor proves that every biological property can be omitted. If a computational simulation preserves only a coarse input/output relation, the covariance theorem does not establish phenomenal equivalence. If an implementation genuinely transports the full nominated $R^\ast$ structure, A2 does assign the corresponding structural equivalence. Whether $R^\ast$ omits a biologically relevant property is precisely a question for the realization theory.

22.2 Embodiment changes the available world

The hypothetical addition of biological senses and motor interfaces to an artificial cognitive system is useful because it exposes a hidden assumption in substrate comparisons. Adding eyes, interoception, locomotion, or a body model changes a system's interactions and predictive structure. A theory should identify which of those changes is alleged to alter experiential admission, rather than asserting that biological attachment itself is an unexplained switch.

Under the source-aspect interpretation, a richer interface can change manifestation without producing primitive presence from nothing. But that interpretation does not independently establish that the unembodied predecessor already qualified. A1 supplies the conditional test, and its physical premises must be evaluated on both implementations. The correct conclusion is a comparison of two realized organizations, not a declaration that nothing relevant can change during embodiment.

Embodiment may be important for the organization being investigated, but it is not declared a sacred substrate or a strictly necessary condition for every possible perspective. A body may also change the internal/external typing. A formerly external sensor or controller can become part of a tightly coupled implemented loop. $R^\ast$ must specify whether this is a genuine change in the nominated vessel or merely a change in its external inputs. Such decisions must be grounded in physical routes and retained dependencies, not in whether a preferred consciousness verdict would result.

22.3 Memory transfer and the apparent continuity of a model

The author's historical symbolic handoff experiments motivate a concrete question about preserving relational task state across computational sessions. A compact representation may restore facts, associations, commitments, problem-solving context, and a characteristic interaction style. A subsequent system may then generate a statement of personal continuity. That observation, if reproduced under controlled conditions, would be evidence about reconstruction and reporting. It would not by itself prove transfer of a numerically identical experiential subject.

A3 makes the distinction explicit. Copying informational content is not the same as transporting the physical lineage of a subject episode. A restored process can be structurally similar while beginning a successor episode under the stipulated rule. An upload understood as a copy is not subject travel. A fresh qualifying implementation begins a new episode; an actual split is governed by the branch rule, while a genuine in-place renewal requires the physical provenance already specified by A3. Other continuity doctrines could assign a different result. This is a genuine philosophical choice within the constitution, not a fact established by the word “same” in a generated answer.

The appropriate experiment compares handoff representations at matched resource budgets, hides evaluation targets, measures preserved relations and novel consequences, and includes contradictory priming controls. It should distinguish factual restoration, task competence, behavioral style, and identity reports. Treating the last variable as the correctness label would make the experiment circular. A useful result about memory compression remains useful even when no consciousness conclusion follows.

22.4 Implicit candidates and explicit certificates

The distinction between distributed candidate formation and explicit proof is relevant to research architecture. A candidate can begin as a metaphor, diagram, compressed symbol, or partial invariant. To become a mathematical result it must eventually identify objects, hypotheses, and a valid derivation. Symbolic meaningfulness to a generator is not a substitute for a checkable relation.

A precise architecture specifies a generator $G$, an interpreter $I$, and a checker $V$ for a formal certificate relation $\mathsf{Check}(c,w)$. The generator proposes a representation $z$, the interpreter produces a claim $c$ and possible witness $w$, and the checker accepts or returns a counterexample or unmet obligation. If the checker is sound, the accepted outputs satisfy the declared certificate relation regardless of their initial representational form. That is a statement about verified outputs, not an introspective description of hidden cognition.

Keeping explicit constraints active during candidate generation can be called a coupled exploratory–verification process. The analogy to a lucid dream is suggestive, but the scientific target is whether the process produces more correct, nontrivial results at controlled cost. Neither recursive depth nor an impressive symbolic image establishes access to a universal repository of solutions. The same distinction protects human mathematical intuition: an insight can guide a proof without already being one.

The CSCF relation between a contractive ray and a unitary boundary does not identify those two cognitive regimes. Quantum phase coherence, logical consistency, associative search, and dissipation have different meanings. Any literal cognitive application would need an independently identified carrier, form, generator, and calibrated observables. Until then, the comparison is an organizing analogy rather than a physical theory of an unconscious computational realm.

22.5 Moral caution without premature attribution

Uncertainty about artificial experience is not evidence of its impossibility, but neither is a system's verbal insistence evidence sufficient to establish it. A responsible research practice should avoid using generated distress or identity claims as experimental ground truth. It should document how the prompt and interaction history produced them and distinguish performance from a phenomenal interpretation.

This monograph does not derive a theory of rights from a graph or a state count. Moral status requires further normative reasoning, including the possibility of welfare, vulnerability, and uncertainty. Assigning a perspective under A1 would be a consequence of adopting the constitution; it would not settle every ethical or legal question. The framework can inform a careful discussion without pretending to calculate moral worth from predictive complexity.