Probabilistic role models and the guarded fragment

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3 Citations (Scopus)


We propose a uniform semantic framework for interpreting probabilistic concept subsumption and probabilistic role quantification through statistical sampling distributions. This general semantic principle serves as the foundation for the development of a probabilistic version of the guarded fragment of first-order logic. A characterization of equivalence in that logic in terms of bisimulations is given.

Original languageEnglish
JournalInternational Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Issue number1
Pages (from-to)43-59
Number of pages17
Publication statusPublished - 2006


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