Hanauer, KathrinNovotná, TerezaPascucci, MatteoSileno, GiovanniSpanakis, Jerryvan Dijck, Gijs2025-04-142025-04-142023-12-0797816436847270922-638910.3233/FAIA230949https://hdl.handle.net/20.500.14018/27266Publisher Copyright: © 2023 The Authors.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.enginfo:eu-repo/semantics/openAccessAlgorithmic graph theoryAristotelian diagramsassisted reasoningautomated deductionnormative reasoningQA75 Electronic computers. Computer scienceBC LogicBook chapterHanauer, K, Novotná, T & Pascucci, M 2023, Assisted Normative Reasoning with Aristotelian Diagrams. in G Sileno, J Spanakis & G van Dijck (eds), Legal Knowledge and Information Systems - JURIX 2023 : 36th Annual Conference. Frontiers in Artificial Intelligence and Applications, vol. 379, IOS Press BV, pp. 89-94, 36th International Conference on Legal Knowledge and Information Systems, JURIX 2023, Maastricht, Netherlands, 18/12/23. https://doi.org/10.3233/FAIA230949conferenceunpaywall: 10.3233/faia230949ORCID: /0000-0003-4867-4082/work/1812970016237815