@inbook{0b0b17ac9cd04c759dc4e4b89633917e,
title = "Assisted Normative Reasoning with Aristotelian Diagrams",
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.",
keywords = "Algorithmic graph theory, Aristotelian diagrams, assisted reasoning, automated deduction, normative reasoning",
author = "Kathrin Hanauer and Tereza Novotn{\'a} and Matteo Pascucci",
note = "Publisher Copyright: {\textcopyright} 2023 The Authors.; 36th International Conference on Legal Knowledge and Information Systems, JURIX 2023 ; Conference date: 18-12-2023 Through 20-12-2023",
year = "2023",
month = dec,
day = "7",
doi = "10.3233/FAIA230949",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "89--94",
editor = "Giovanni Sileno and Jerry Spanakis and {van Dijck}, Gijs",
booktitle = "Legal Knowledge and Information Systems - JURIX 2023",
}