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Probabilistic Team Semantics

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Foundations of Information and Knowledge Systems (FoIKS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10833))

Abstract

Team semantics is a semantical framework for the study of dependence and independence concepts ubiquitous in many areas such as databases and statistics. In recent works team semantics has been generalised to accommodate also multisets and probabilistic dependencies. In this article we study a variant of probabilistic team semantics and relate this framework to a Tarskian two-sorted logic. We also show that very simple quantifier-free formulae of our logic give rise to \(\mathrm {NP} \)-hard model checking problems.

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Notes

  1. 1.

    \(f(\varvec{x})=0\) is always false for probability distributions f in structures of size 1.

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Acknowledgements

The second author was supported by grant 3711702 of the Marsden Fund. The third author was supported by grant 308712 of the Academy of Finland. This work was supported in part by the joint grant by the DAAD (57348395) and the Academy of Finland (308099). We also thank the anonymous referees for their helpful suggestions.

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Correspondence to Jonni Virtema .

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Durand, A., Hannula, M., Kontinen, J., Meier, A., Virtema, J. (2018). Probabilistic Team Semantics. In: Ferrarotti, F., Woltran, S. (eds) Foundations of Information and Knowledge Systems. FoIKS 2018. Lecture Notes in Computer Science(), vol 10833. Springer, Cham. https://doi.org/10.1007/978-3-319-90050-6_11

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  • DOI: https://doi.org/10.1007/978-3-319-90050-6_11

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