Łukasiewicz Interpretable Markov Engine for Neuralized AI
Project description
LIMEN-AI
LIMEN-AI (Łukasiewicz Interpretable Markov Engine for Neuralized AI) is a Python reference implementation of the LIMEN-AI SRM engine. It provides:
- Łukasiewicz fuzzy semantics and differentiable rule evaluation
- Energy-based inference (importance sampling, explanations, deduction)
- KB-driven inductive rule discovery using configurable templates
Installation
cd code
pip install -e .
Documentation
docs/api_overview.mddescribes the main APIs and workflow.notebooks/limen_ai_walkthrough.ipynbdemonstrates KB creation, inference, and induction.
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