About SEMT
The Structured Epistemic Model of Truth (SEMT) is a formal framework for modeling truth under bounded verification. It was developed to address a central challenge in logic, epistemology, and AI: how to define and reason about truth in systems with limited capacity — whether human, formal, or machine.
Instead of presupposing an external or metaphysical truth, SEMT introduces layered verifiability (Tn) and verifier classes (Mn) — mapping what can be known, proven, or justified based on available memory, inference depth, or logic rules. It models truth as structured epistemic accessibility.
The model supports both foundational inquiry and practical tool design. In logic and mathematics, SEMT reframes independence, undecidability, and convergence. In AI, it serves as a conceptual and architectural basis for verifiability-aware systems — including plugins, APIs, and truth-layered auditing components.
SEMT was created to bridge philosophical rigor with real-world system constraints. Its ambition is to contribute not just to theoretical understanding, but to the governance of knowledge-generating systems — enabling safer, more explainable, and epistemically grounded computation.
The framework is developed and maintained by Areteco AB, and published through Areteco Publishing.