Loading [MathJax]/extensions/tex2jax.js

Probabilistic team semantics

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Arnaud Durand
  • Miika Hannula
  • Juha Kontinen
  • Arne Meier
  • Jonni Virtema

External Research Organisations

  • Universite Paris 7
  • University of Auckland
  • University of Helsinki
  • Hasselt University

Details

Original languageEnglish
Title of host publicationFoundations of Information and Knowledge Systems - 10th International Symposium, FoIKS 2018, Proceedings
EditorsStefan Woltran, Flavio Ferrarotti
PublisherSpringer Verlag
Pages186-206
Number of pages21
ISBN (print)9783319900490
Publication statusPublished - 2018
Event10th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2018 - Budapest, Hungary
Duration: 14 May 201818 May 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10833 LNCS
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

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 NP -hard model checking problems.

ASJC Scopus subject areas

Cite this

Probabilistic team semantics. / Durand, Arnaud; Hannula, Miika; Kontinen, Juha et al.
Foundations of Information and Knowledge Systems - 10th International Symposium, FoIKS 2018, Proceedings. ed. / Stefan Woltran; Flavio Ferrarotti. Springer Verlag, 2018. p. 186-206 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10833 LNCS).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Durand, A, Hannula, M, Kontinen, J, Meier, A & Virtema, J 2018, Probabilistic team semantics. in S Woltran & F Ferrarotti (eds), Foundations of Information and Knowledge Systems - 10th International Symposium, FoIKS 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10833 LNCS, Springer Verlag, pp. 186-206, 10th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2018, Budapest, Hungary, 14 May 2018. https://doi.org/10.1007/978-3-319-90050-6_11
Durand, A., Hannula, M., Kontinen, J., Meier, A., & Virtema, J. (2018). Probabilistic team semantics. In S. Woltran, & F. Ferrarotti (Eds.), Foundations of Information and Knowledge Systems - 10th International Symposium, FoIKS 2018, Proceedings (pp. 186-206). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10833 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-90050-6_11
Durand A, Hannula M, Kontinen J, Meier A, Virtema J. Probabilistic team semantics. In Woltran S, Ferrarotti F, editors, Foundations of Information and Knowledge Systems - 10th International Symposium, FoIKS 2018, Proceedings. Springer Verlag. 2018. p. 186-206. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-90050-6_11
Durand, Arnaud ; Hannula, Miika ; Kontinen, Juha et al. / Probabilistic team semantics. Foundations of Information and Knowledge Systems - 10th International Symposium, FoIKS 2018, Proceedings. editor / Stefan Woltran ; Flavio Ferrarotti. Springer Verlag, 2018. pp. 186-206 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Download
@inproceedings{325806c38113497bb7d7d5a0f0d13159,
title = "Probabilistic team semantics",
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 NP -hard model checking problems.",
author = "Arnaud Durand and Miika Hannula and Juha Kontinen and Arne Meier and Jonni Virtema",
note = "Funding information: 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. 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.; 10th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2018 ; Conference date: 14-05-2018 Through 18-05-2018",
year = "2018",
doi = "10.1007/978-3-319-90050-6_11",
language = "English",
isbn = "9783319900490",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "186--206",
editor = "Stefan Woltran and Flavio Ferrarotti",
booktitle = "Foundations of Information and Knowledge Systems - 10th International Symposium, FoIKS 2018, Proceedings",
address = "Germany",

}

Download

TY - GEN

T1 - Probabilistic team semantics

AU - Durand, Arnaud

AU - Hannula, Miika

AU - Kontinen, Juha

AU - Meier, Arne

AU - Virtema, Jonni

N1 - Funding information: 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. 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.

PY - 2018

Y1 - 2018

N2 - 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 NP -hard model checking problems.

AB - 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 NP -hard model checking problems.

UR - http://www.scopus.com/inward/record.url?scp=85046896904&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-90050-6_11

DO - 10.1007/978-3-319-90050-6_11

M3 - Conference contribution

AN - SCOPUS:85046896904

SN - 9783319900490

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 186

EP - 206

BT - Foundations of Information and Knowledge Systems - 10th International Symposium, FoIKS 2018, Proceedings

A2 - Woltran, Stefan

A2 - Ferrarotti, Flavio

PB - Springer Verlag

T2 - 10th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2018

Y2 - 14 May 2018 through 18 May 2018

ER -

By the same author(s)