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Deontic Diversity

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Deontic Logic and Normative Systems (DEON 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8554))

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Abstract

It is commonly assumed that deontic logic concerns “the” logic of normative concepts. However, a close look at actual usage shows that the structural patterns of deontic notions differ between different usages. Some of these differences are difficult to discern in natural language, but may be easier to keep apart with the more precise tools of a formal language. We should use the resources of deontic logic to discover and distinguish between different meanings of the deontic terms in natural language. Some of the ingrained disagreements on postulates in deontic logic may be resolvable if we recognize that the different viewpoints correspond to different meanings of the normative terms of ordinary language.

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Author information

Authors and Affiliations

  1. Division of Philosophy, Royal Institute of Technology, 100 44, Stockholm, Sweden

    Sven Ove Hansson

Authors
  1. Sven Ove Hansson
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Editor information

Editors and Affiliations

  1. Department of Philosophy, Northwestern University, Campus Drive, 1880, 60208, Evanston, IL, USA

    Fabrizio Cariani

  2. Department of Computer Science, University of Liverpool, Ashton Building, Ashton Street, L69 3BX, Liverpool, UK

    Davide Grossi

  3. Centre for Logic and Philosophy of Science, Universiteit Gent, Blandijnberg 2, 9000, Gent, Belgium

    Joke Meheus

  4. University of Luxembourg,  6, rue Richard Coudenhove-Kalergi, 1359, Luxembourg, Luxembourg

    Xavier Parent

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© 2014 Springer International Publishing Switzerland

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Hansson, S.O. (2014). Deontic Diversity. In: Cariani, F., Grossi, D., Meheus, J., Parent, X. (eds) Deontic Logic and Normative Systems. DEON 2014. Lecture Notes in Computer Science(), vol 8554. Springer, Cham. https://doi.org/10.1007/978-3-319-08615-6_2

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  • DOI: https://doi.org/10.1007/978-3-319-08615-6_2

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08614-9

  • Online ISBN: 978-3-319-08615-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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