1 Bayesian Logic Programming : Theory and Tool


In recent years, there has been a significant interest in integrating probability theory with first order logic and relational representations [see De Raedt and Kersting, 2003, for an overview]. Muggleton [1996] and Cussens [1999] have upgraded stochastic grammars towards Stochastic Logic Programs, Sato and Kameya [2001] have introduced Probabilistic Distributional Semantics for logic programs, and Domingos and Richardson [2004] have upgraded Markov networks towards Markov Logic Networks. Another research stream including Poole’s Independent Choice Logic [1993], Ngo and Haddawy’s Probabilistic-Logic Programs [1997], Jäger’s Relational Bayesian Networks [1997], and Pfeffer’s Probabilistic Relational Models [2000] concentrates on first order logical and relational extensions of Bayesian networks.

14 Figures and Tables

Citations per Year

154 Citations

Semantic Scholar estimates that this publication has 154 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@inproceedings{Kersting20051BL, title={1 Bayesian Logic Programming : Theory and Tool}, author={Kristian Kersting and Luc De Raedt}, year={2005} }