HANAUER, Kathrin, Tereza NOVOTNÁ and Matteo PASCUCCI. Assisted Normative Reasoning with Aristotelian Diagrams. Online. In Giovanni Sileno, Jerry Spanakis, Gijs van Dijck. 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, p. 89-94. ISBN 978-1-64368-472-7. Available from: https://dx.doi.org/10.3233/FAIA230949.
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Basic information
Original name Assisted Normative Reasoning with Aristotelian Diagrams
Authors HANAUER, Kathrin (40 Austria), Tereza NOVOTNÁ (203 Czech Republic, guarantor, belonging to the institution) and Matteo PASCUCCI (380 Italy).
Edition Amsterdam, Berlin, Washington DC, Frontiers in Artificial Intelligence and Applications, Vol. 379 Legal Knowledge and Information Systems. Proceedings of JURIX 2023. p. 89-94, 6 pp. 2023.
Publisher IOS Press BV
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 50501 Law
Country of publisher Netherlands
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW Open access sborníku
RIV identification code RIV/00216224:14220/23:00132854
Organization unit Faculty of Law
ISBN 978-1-64368-472-7
ISSN 0922-6389
Doi http://dx.doi.org/10.3233/FAIA230949
UT WoS 001175464100010
Keywords (in Czech) Algoritmická teorie grafů; Aristotelovské diagramy; asistované rozhodování; automatická dedukce; normativní uvažování
Keywords in English Algorithmic graph theory; Aristotelian diagrams; assisted reasoning; automated deduction; normative reasoning
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tereza Novotná, Ph.D., učo 421694. Changed: 20/6/2024 16:14.
Abstract
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.
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