Distributional logic programming for Bayesian knowledge representation

We present a formalism for combining logic programming and its flavour of nondeterminism with probabilistic reasoning. In particular, we focus on representing prior knowledge for Bayesian inference. Distributional logic programming (Dlp), is considered in the context of a class of generative probabi...

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Veröffentlicht in:	International journal of approximate reasoning Jg. 80; S. 52 - 66
Hauptverfasser:	Angelopoulos, Nicos, Cussens, James
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.01.2017
Schlagworte:	Bayesian analysis Bayesian inference Bayesian networks Classification and regression trees Knowledge representation Logic programming Mathematical models Probabilistic logic programming Probabilistic methods Probability theory Reasoning Statistical analysis Logic programming Bayesian networks Bayesian inference Probabilistic logic programming Classification and regression trees Knowledge representation
ISSN:	0888-613X, 1873-4731
Online-Zugang:	Volltext
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