An explainable inference software supporting annotated, real valued, graph based and temporal logic
Project description
An explainable inference software supporting annotated, real valued, graph based and temporal logic.
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Table of Contents
1. Introduction
PyReason is a graphical inference tool that uses a set of logical rules and facts (initial conditions) to reason over graph structures. To get more details, refer to the paper/video/hello-world-example mentioned above.
2. Documentation
All API documentation and code examples can be found on ReadTheDocs
3. Install
PyReason can be installed as a python library using
pip install pyreason
The Python versions that are currently supported are 3.7, 3.8, 3.9, 3.10. If you want multi-core parallel support only 3.9 and 3.10 versions work due to limited numba support.
4. Bibtex
If you used this software in your work please cite our paper
Bibtex:
@inproceedings{aditya_pyreason_2023,
title = {{PyReason}: Software for Open World Temporal Logic},
booktitle = {{AAAI} Spring Symposium},
author = {Aditya, Dyuman and Mukherji, Kaustuv and Balasubramanian, Srikar and Chaudhary, Abhiraj and Shakarian, Paulo},
year = {2023}}
5. License
This repository is licensed under BSD-2-Clause.
Trademark Permission PyReason™ and PyReason Design Logo
6. Contact
Dyuman Aditya - dyuman.aditya@asu.edu
Kaustuv Mukherji - kmukher2@asu.edu
Paulo Shakarian - pshak02@asu.edu
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