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Assisted Normative Reasoning with Aristotelian Diagrams

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14220%2F23%3A00132854" target="_blank" >RIV/00216224:14220/23:00132854 - isvavai.cz</a>

  • Result on the web

    <a href="https://ebooks.iospress.nl/volumearticle/65571" target="_blank" >https://ebooks.iospress.nl/volumearticle/65571</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3233/FAIA230949" target="_blank" >10.3233/FAIA230949</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Assisted Normative Reasoning with Aristotelian Diagrams

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50501 - Law

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Frontiers in Artificial Intelligence and Applications, Vol. 379 Legal Knowledge and Information Systems. Proceedings of JURIX 2023.

  • ISBN

    9781643684727

  • ISSN

    0922-6389

  • e-ISSN

    1879-8314

  • Number of pages

    6

  • Pages from-to

    89-94

  • Publisher name

    IOS Press BV

  • Place of publication

    Amsterdam, Berlin, Washington DC

  • Event location

    Maastricht

  • Event date

    Dec 18, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001175464100010