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https://dx.doi.org/10.4230/dag...
Article . 2007
License: CC BY
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Data sources: DBLP
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On the Logic of Normative Systems

Authors: Ågotnes, Thomas; van der Hoek, Wiebe; Rodriguez-Aguilar, Juan A.; Sierra, Carles; Wooldridge, Michael;

On the Logic of Normative Systems

Abstract

We introduce emph{Normative Temporal Logic} (acro{ntl}), a logic for reasoning about normative systems. acro{ntl} is a generalisation of the well-known branching-time temporal logic acro{ctl}, in which the path quantifiers $Apath$ (``on all pathsldots'') and $Epath$ (``on some pathldots'') are replaced by the indexed deontic operators $O{ s}$ and $P{ s}$, where for example $O{ s}phi$ means ``$phi$ is obligatory in the context of normative system $ s$''. After defining the logic, we give a sound and complete axiomatisation, and discuss the logic's relationship to standard deontic logics. We present a symbolic representation language for models and normative systems, and identify four different model checking problems, corresponding to whether or not a model is represented symbolically or explicitly, and whether or not we are given an interpretation for the normative systems named in formulae to be checked. We show that the complexity of model checking varies from acro{p}-complete up to acro{exptime}-hard for these variations.

Country
Germany
Keywords

deontic logic, Normative systems, normative temporal logic, 004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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