An inductive logic programming system
-
Updated
Jan 23, 2025 - Python
An inductive logic programming system
Mechanistically interpretable neurosymbolic AI (Nature Comput Sci 2024): losslessly compressing NNs to computer code and discovering new algorithms which generalize out-of-distribution and outperform human-designed algorithms
Top-down induction of first-order logical decision trees: master AI thesis implementation
Code for the papers "Induction of Subgoal Automata for Reinforcement Learning" (AAAI-20) and "Induction and Exploitation of Subgoal Automata for Reinforcement Learning" (JAIR).
BotGNN: Inclusion of Domain-Knowledge into GNNs using Mode-Directed Inverse Entailment
Symbolic function approximator aims to generate a function using a genetic algorithm to approximate a data distribution using the symbolic paradigm with programming logic.
Python package for fetching and using srlearn-compatible relational datasets.
A code base for Automated Relational Feature Engineering
Exploit ILP to learn symmetry breaking constraints of ASP programs.
Add a description, image, and links to the inductive-logic-programming topic page so that developers can more easily learn about it.
To associate your repository with the inductive-logic-programming topic, visit your repo's landing page and select "manage topics."