A new probabilistic constraint logic programming language based on a generalised distribution semantics

Probabilistic logics combine the expressive power of logic with the ability to reason with uncertainty. Several probabilistic logic languages have been proposed in the past, each of them with their own features. We focus on a class of probabilistic logic based on Sato's distribution semantics,...

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Vydané v:	Artificial intelligence Ročník 228; s. 1 - 44
Hlavní autori:	Michels, Steffen, Hommersom, Arjen, Lucas, Peter J.F., Velikova, Marina
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.11.2015
Predmet:	Continuous probability distributions Exact probabilistic inference Imprecise probabilities Inference Logic Logic programming Probabilistic logic programming Probabilistic methods Probability distribution Probability theory Random variables Semantics Continuous probability distributions Imprecise probabilities Exact probabilistic inference Probabilistic logic programming
ISSN:	0004-3702, 1872-7921
On-line prístup:	Získať plný text
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