About SEMT
The Structured Epistemic Model of Truth (SEMT) is a conceptual framework for modeling truth under conditions of bounded verification. It was developed to explore how truth can be structured, reasoned about, or provisionally justified in systems with limited capacity — whether human, formal, or machine.
Rather than presupposing a fixed external truth, SEMT introduces the idea of layered verifiability (Tn) and verifier classes (Mn). These layers express what a system or agent can support, justify, or infer, based on its available memory, logic, or epistemic reach. SEMT frames truth as structured epistemic accessibility — not assertion.
The model supports both theoretical exploration and early-stage tooling. In mathematics and logic, SEMT offers a reframing of classical results around undecidability, independence, and convergence. In AI, it provides a conceptual lens for thinking about verifiability and epistemic discipline in system outputs — including speculative prototypes such as classification wrappers or layered annotation tools.
SEMT is not a truth engine or fact-checker, but a structural framework for reasoning about what can be known or shown within epistemic bounds. It is intended as a contribution to formal epistemology, model theory, and the growing need for transparent reasoning frameworks in complex systems.
The framework is developed by Areteco AB and published through Areteco Publishing.