TCEC-FCM: Efficient Algorithm for Total Causal Effect Calculation in Fuzzy Cognitive Maps
Authors/Creators
Description
This repository contains the source code developed and used in the paper: "Advancing Explainable AI with Causal Analysis in Large-Scale Fuzzy Cognitive Maps", written by Marios Tyrovolas, Nikolaos D. Kallimanis, and Chrysostomos Stylios.
While this paper is under review, please cite this work as follows:
M. Tyrovolas, N. D. Kallimanis, and C. Stylios, “Advancing Explainable AI with Causal Analysis in Large-Scale Fuzzy Cognitive Maps,” 2024, arXiv. doi: 10.48550/ARXIV.2405.09190.
Acknowledgements
This research has been financed by the European Union: Next Generation EU through the Program Greece 2.0 - National Recovery and Resilience Plan, under the call "Flagship actions in interdisciplinary scientific fields with a special focus on the productive fabric”, project name "Greece4.0 - Network of Excellence for developing, disseminating and implementing digital transformation technologies in Greek Industry" (project code: TAEDR-0535864).
Contact
For any question, please raise an issue or contact
Marios Tyrovolas: tirovolas@kic.uoi.gr
Files
TCEC-FCM-Algorithms-1.0.2.zip
Files
(791.8 kB)
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Additional details
Related works
- Is supplement to
- Software: https://github.com/marios-tyrovolas/TCEC-FCM-Algorithms/tree/v1.0.2 (URL)