MEBN
swMATH ID:  2784 
Software Authors:  Laskey, Kathryn Blackmond 
Description:  A logic system that integrates First Order Logic (FOL) with Bayesian probability theory. MEBN extends ordinary Bayesian networks to allow representation of graphical models with repeated substructures. Knowledge is encoded as a collection of Bayesian network fragments (MFrags) that can be instantiated and combined to form highly complex situationspecific Bayesian networks. A MEBN theory (MTheory) implicitly represents a joint probability distribution over possibly unbounded numbers of hypotheses, and uses Bayesian learning to refine a knowledge base as observations accrue. MEBN provides a logical foundation for the emerging collection of highly expressive probabilitybased languages. 
Homepage:  http://www.prowl.org/mebn/index.php 
Keywords:  Bayesian network; graphical probability models; knowledge representation; multientity Bayesian network; probabilistic logic; uncertainty in artificial intelligence 
Related Software:  BLOG; PROWL; IBAL; PRISM; BayesOWL; BUGS; UnBBayes; SPOOK; KnowRob; MayBMS; NUTS; Dsharp; Figaro; FACTORIE; Church; CPlogic; ProbLog; z3; Yices; Graphplan 
Referenced in:  11 Publications 
Standard Articles
1 Publication describing the Software, including 1 Publication in zbMATH  Year 

MEBN: a language for firstorder Bayesian knowledge bases. Zbl 1182.68288 Laskey, Kathryn Blackmond 
2008

all
top 5
Referenced by 22 Authors
all
top 5