Iterative Learning of Answer Set Programs from Context Dependent Examples

In recent years, several frameworks and systems have been proposed that extend Inductive Logic Programming (ILP) to the Answer Set Programming (ASP) paradigm. In ILP, examples must all be explained by a hypothesis together with a given background knowledge. In existing systems, the background knowle...

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Vydané v:	Theory and practice of logic programming Ročník 16; číslo 5-6; s. 834 - 848
Hlavní autori:	LAW, MARK, RUSSO, ALESSANDRA, BRODA, KRYSIA
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cambridge, UK Cambridge University Press 01.09.2016
Predmet:	Algorithms Gain Iterative algorithms Learning Logic programming Preserving Programming Regular Papers Tasks Iterative Learning Answer Set Programming Non-monotonic Inductive Logic Programming
ISSN:	1471-0684, 1475-3081
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