A Glimpse into Statistical Relalional AI - Indistinguishability for the Win!

Basic data for this talk

Type of talkscientific talk
Name der VortragendenBraun, Tanya
Date of talk15/11/2022
Talk languageEnglish
URL of slideshttps://www.ifis.uni-luebeck.de/~braun/Talks/GeoInf_StaRAI.pdf

Information about the event

Name of the eventGI Forum
Event period15/11/2022
Event locationMünster
Organised byInstitut für Geoinformatik

Abstract

Statistical relational artificial intelligence, StaRAI for short, focuses on combining reasoning in uncertain environments with reasoning about individuals and relations in those environments. An important concept in StaRAI is indistinguishability, where groups of individuals behave indistinguishably in relation to each other in an environment. This indistinguishability manifests itself in symmetries in a propositional model and can be encoded compactly using logical constructs in relational models. Lifted inference then exploits indistinguishability for efficiency gains. This talk showcases how to encode indistinguishability in models using logical constructs and highlights various ways of using indistinguishability during probabilistic inference.
Keywordsstatistical relational AI; lifted inference; tractability; temporal inference; decision making

Speakers from the University of Münster

Braun, Tanya
Junior professorship for practical computer science - modern aspects of data processing / data science (Prof. Braun)