Representing Causal Information About a Probabilistic Process

DOI10.1007/11853886_37zbMath1152.68621OpenAlexW1496268409MaRDI QIDQ3533152

Marc Denecker, Joost Vennekens, Maurice Bruynooghe

Publication date: 30 October 2008

Published in: Logics in Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/11853886_37

Mathematics Subject Classification ID

Logic in artificial intelligence (68T27) Knowledge representation (68T30) Logic programming (68N17)

Related Items (7)

Lower complexity bounds for lifted inference ⋮ Probabilistic (logic) programming concepts ⋮ Stochastic relational processes: efficient inference and applications ⋮ A landscape and implementation framework for probabilistic rough sets using \textsc{ProbLog} ⋮ Unnamed Item ⋮ CP-logic: A language of causal probabilistic events and its relation to logic programming ⋮ Building a Knowledge Base System for an Integration of Logic Programming and Classical Logic

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