An efficient Python toolkit for Abductive Learning (ABL), a novel paradigm that integrates machine learning and logical reasoning in a unified framework.
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Updated
Sep 12, 2024 - Python
An efficient Python toolkit for Abductive Learning (ABL), a novel paradigm that integrates machine learning and logical reasoning in a unified framework.
The corresponding code from our paper "Social Commonsense Reasoning with Multi-Head Knowledge Attention (EMNLP 2020)". Do not hesitate to open an issue if you run into any trouble!
A novel Inductive Logic Programming(ILP) system based on Meta Inverse Entailment in Python.
Paraconsistent Abductive Learning
Source code for the paper: Espinosa Dice N, Kaye M, Ahmed H, Montanez G, "A Probabilistic Theory of Abductive Reasoning," ICAART 2021. Work supported in part by the National Science Foundation under Grant No. 1950885.
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