Computability of Diagrammatic Theories for Normative Positions
| Authors |
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| Publication date | 2021 |
| Host editors |
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| Book title | Legal Knowledge and Information Systems |
| Book subtitle | JURIX 2021: The 34th Annual Conference, Vilnius, Lithuania, 8-10 December 2021 |
| ISBN |
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| ISBN (electronic) |
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| Series | Frontiers in Artificial Intelligence and Applications |
| Event | 34th International Conference on Legal Knowledge and Information Systems, JURIX 2021 |
| Pages (from-to) | 171-180 |
| Number of pages | 10 |
| Publisher | Amsterdam: IOS Press |
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| Abstract |
Normative positions are sometimes illustrated in diagrams, in particular in didactic contexts. Traditional examples are the Aristotelian polygons of opposition for deontic modalities (squares, triangles, hexagons, etc.), and the Hohfeldian squares for obligative and potestative concepts. Relying on previous work, we show that Hohfeld's framework can be used as a basis for developing several Aristotelian polygons and more complex diagrams. Then, we illustrate how logical theories of increasing strength can be built based on these diagrams, and how those theories enable us to determine in a computably efficient way whether a set of normative positions can be derived from another set of normative positions. |
| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.3233/FAIA210333 |
| Other links | https://www.scopus.com/pages/publications/85122055958 |
| Downloads |
FAIA-346-FAIA210333
(Final published version)
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