Applications of the Structured Epistemic Model of Truth (SEMT)
The SEMT framework enables structured reasoning under epistemic constraints — helping systems, researchers, and bounded agents identify what can be verified, what depends on context and what lies beyond formal reach. These applications are exploratory and under development, reflecting ongoing design in epistemic infrastructure.
Prototype Technologies (in active design)
🧩 Epistemic API (EAPI)
A modular classification concept that tags statements by verifiability layer: T₀ (provable), T₁ (contextual/inferable), or ⊬ (unverifiable). EAPI is envisioned as a model-agnostic layer for detecting epistemically inaccessible claims and facilitating introspection in AI systems.
The logic is in early prototyping — try the demonstration →
🧪 Visual Preview: EAPI Interface
A concept interface illustrating how SEMT classification could assist in content verification for LLMs or AI agents:
🔍 SEMT Verifier Plugin
A planned extension for use in browser, GPT, or IDE environments. The Verifier Plugin aims to flag claims with inline epistemic annotations — offering traceable insight into each statement’s epistemic status. Development is conceptual; implementation pending.
📐 Foundational Modeling
SEMT’s layered approach offers a new lens on truth and independence — where longstanding open problems (like the Continuum Hypothesis or P ≠ NP) are reframed through verifiability and bounded epistemic access.
Use Cases (conceptual)
- 🔒 Verifiability filters for LLM output analysis
- 🧠 AI reasoning modules constrained by epistemic reach
- 📊 Transparent audit tools for safety-focused development
- 📎 Curriculum aids in epistemology, logic and systems design
Development & Collaboration
Areteco AB is initiating discussion around potential applications of SEMT for epistemic security in high-stakes AI contexts. Partners, researchers and developers are invited to collaborate. → Reach out
Note: All tools described above are exploratory prototypes or concepts. The SEMT framework, EAPI and derivative epistemic models are original work by Areteco AB. Development is ongoing.