A Comparison of Shallow Explainable Artificial Intelligence Methods against Grammatical Evolution Approach
Data
2023
Autorzy
Tytuł czasopisma
ISSN czasopisma
Tytuł tomu
Wydawca
Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology Press
Lodz University of Technology Press
Abstrakt
This paper reports on an ongoing, innovative research in the area
of eXplainable Artificial Intelligence (XAI). An XAI task is considered as
finding an explanation of the model generated via Machine Learning by
identifying the most influential variables for local decision-making. The
proposed approach moves the explanatory process to a new, deeper-level
dimension. It is oriented towards Model Discovery, i.e. the internal structure
and functions of the components. An experiment on Function Discovery
via Grammatical Evolution is reported in brief.
Opis
Słowa kluczowe
explainable artificial intelligence, grammatical evolution, structural regression, model-based explainable artificial intelligence, wyjaśnialna sztuczna inteligencja, ewolucja gramatyczna, regresja strukturalna, wyjaśnialna sztuczna inteligencja oparta na modelach
Cytowanie
Sepioło D., Ligęza A., A Comparison of Shallow Explainable Artificial Intelligence Methods against Grammatical Evolution Approach. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 89-94, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.12.