September 8, 2026Open Access
Mapping the Unknowable: Why Epistemic Systems Must Stabilise the Unknowable Before They Can Map the Knowable — A Philosophical and Mathematical Deduction on the Nature of the Carlo Field
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Implication
Theoretical analysis demonstrates stability of unknowable statements in recursive epistemic architectures, suggesting handling uncertainty is a prerequisite for mapping knowable truths.
Key Points
- To determine whether formal epistemic systems must stabilize unstructured or unknowable statements as an essential precondition to reliably map knowable statements.
- Applied philosophical and mathematical deduction using the Carlo Field as a truth-neutral epistemic engine.
- Modeled statement behavior using identical recursion and collapse operators formalised by the equilibrium relation K(R(S)) = S.
- Established that the Carlo Field treats knowable and unknowable propositions identically by defining truth via recursive stability rather than empirical verification.
- Demonstrated that collapse tolerance and recursion stability under the unknowable-first axiom are necessary requirements for any robust epistemic mapping framework.
Cite This Study
Matthew Arthur Carlo (2026) studied this question.