Learning interpretable logical rules from examples combining symbolic reasoning with machine learning
Project description
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Inductive Logic Programming
🌟 Learning interpretable logical rules from examples combining symbolic reasoning with machine learning
Muggleton, S., & De Raedt, L. (1994) - "Inductive Logic Programming: Theory and Methods"
📦 Installation
pip install inductive-logic-programming
🎓 About the Implementation
Implemented by Benedict Chen - bringing foundational AI research to modern Python.
📧 Contact: benedict@benedictchen.com
💰 Support This Work - Donation Appreciated!
This implementation represents hundreds of hours of research and development. If you find it valuable, please consider donating:
💳 DONATE VIA PAYPAL - CLICK HERE
Your support helps maintain and expand these research implementations! 🙏
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