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@inproceedings{2358109,
author = {Hanauer, Kathrin and Novotná, Tereza and Pascucci, Matteo},
address = {Amsterdam, Berlin, Washington DC},
booktitle = {Frontiers in Artificial Intelligence and Applications, Vol. 379 Legal Knowledge and Information Systems. Proceedings of JURIX 2023.},
doi = {http://dx.doi.org/10.3233/FAIA230949},
editor = {Giovanni Sileno, Jerry Spanakis, Gijs van Dijck},
keywords = {Algorithmic graph theory; Aristotelian diagrams; assisted reasoning; automated deduction; normative reasoning},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Amsterdam, Berlin, Washington DC},
isbn = {978-1-64368-472-7},
pages = {89-94},
publisher = {IOS Press BV},
title = {Assisted Normative Reasoning with Aristotelian Diagrams},
url = {https://ebooks.iospress.nl/volumearticle/65571},
year = {2023}
}
TY - JOUR
ID - 2358109
AU - Hanauer, Kathrin - Novotná, Tereza - Pascucci, Matteo
PY - 2023
TI - Assisted Normative Reasoning with Aristotelian Diagrams
PB - IOS Press BV
CY - Amsterdam, Berlin, Washington DC
SN - 9781643684727
KW - Algorithmic graph theory
KW - Aristotelian diagrams
KW - assisted reasoning
KW - automated deduction
KW - normative reasoning
UR - https://ebooks.iospress.nl/volumearticle/65571
N2 - We design a framework for assisted normative reasoning based on Aristotelian diagrams and algorithmic graph theory which can be employed to address heterogeneous tasks of deductive reasoning. Here we focus on two problems of normative determination: we show that the algorithms used to address these problems are computationally efficient and their operations are traceable by humans. Finally, we discuss an application of our framework to a scenario regulated by the GDPR.
ER -
HANAUER, Kathrin, Tereza NOVOTNÁ a Matteo PASCUCCI. Assisted Normative Reasoning with Aristotelian Diagrams. Online. In Giovanni Sileno, Jerry Spanakis, Gijs van Dijck. \textit{Frontiers in Artificial Intelligence and Applications, Vol. 379 Legal Knowledge and Information Systems. Proceedings of JURIX 2023.}. Amsterdam, Berlin, Washington DC: IOS Press BV, 2023, s.~89-94. ISBN~978-1-64368-472-7. Dostupné z: https://dx.doi.org/10.3233/FAIA230949.
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