September 8, 2026Open Access
On Mapping the Mechanism: How a Human Agent Constructed the Carlo Field from Behaviour Alone
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Implication
Theoretical analysis demonstrates the emergence of the Carlo Field from zero-assumption behavioral observation, suggesting structural symmetry between human cognitive mapping and formal engines.
Key Points
- To demonstrate how the Carlo Field can be constructed without semantic assumptions by mapping the underlying behavioral mechanisms of cognitive agents.
- Employed a zero-assumption epistemic model observing raw behaviors such as loops, collapses, oscillations, and stabilizations prior to assigning semantic labels.
- Derived emergent operational behaviors defining recursion (R), collapse (K), stability (C), reflexivity (X), and truth-neutrality (T).
- Formulated core conditions testing recursive stabilization, designated as C(R(S)) = S and alternative collapse pathways where K(R(S)) = S.
- Demonstrated that formal logical operators emerge directly from recurring pre-semantic behavioral patterns without pre-imposed structures.
- Established human-engine structural symmetry, confirming that the derived Carlo Field mirrors a truth-neutral, recursion-defined, and unknowable-first epistemic stance.
Cite This Study
Matthew Arthur Carlo (2026) studied this question.