Facets of Distribution Identities in Probabilistic Team Semantics

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Hannula , M , Hirvonen , Å , Kontinen , J , Kulikov , V & Virtema , J 2019 , Facets of Distribution Identities in Probabilistic Team Semantics . in F Calimeri , N Leone & M Manna (eds) , Logics in Artificial Intelligence : 16th European Conference, JELIA 2019, Rende, Italy, May 7–11, 2019, Proceedings . vol. 11468 , Lecture Notes in Computer Science , vol. 11468 , Springer , pp. 304-320 , The 16th European Conference on Logics in Artificial Intelligence (JELIA 2019) , 07/05/2019 . https://doi.org/10.1007/978-3-030-19570-0_20

Title: Facets of Distribution Identities in Probabilistic Team Semantics
Author: Hannula, Miika; Hirvonen, Åsa; Kontinen, Juha; Kulikov, Vadim; Virtema, Jonni
Other contributor: Calimeri, Francesco
Leone, Nicola
Manna, Marco
Contributor organization: Department of Mathematics and Statistics
Publisher: Springer
Date: 2019
Language: eng
Number of pages: 17
Belongs to series: Logics in Artificial Intelligence
Belongs to series: Lecture Notes in Computer Science
ISBN: 9783030195694
9783030195700
ISSN: 0302-9743
DOI: https://doi.org/10.1007/978-3-030-19570-0_20
URI: http://hdl.handle.net/10138/310088
Abstract: We study probabilistic team semantics which is a semantical framework allowing the study of logical and probabilistic dependencies simultaneously. We examine and classify the expressive power of logical formalisms arising by different probabilistic atoms such as conditional independence and different variants of marginal distribution equivalences. We also relate the framework to the first-order theory of the reals and apply our methods to the open question on the complexity of the implication problem of conditional independence.
Subject: 111 Mathematics
Team semantics
Probabilistic logic
Conditional independence
Peer reviewed: Yes
Usage restriction: openAccess
Self-archived version: acceptedVersion


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