D 2023

Assisted Normative Reasoning with Aristotelian Diagrams

HANAUER, Kathrin, Tereza NOVOTNÁ and Matteo PASCUCCI

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

Language

English

Type of outcome

Stať ve sborníku

Field of Study

50501 Law

Country of publisher

Netherlands

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

RIV identification code

RIV/00216224:14220/23:00132854

Organization unit

Faculty of Law

ISBN

978-1-64368-472-7

ISSN

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

Tags

International impact, Reviewed
Změněno: 20/6/2024 16:14, Mgr. Tereza Novotná, Ph.D.

Abstract

V originále

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.