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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Veröffentlicht in:	Theory and practice of logic programming Jg. 16; H. 5-6; S. 834 - 848
Hauptverfasser:	LAW, MARK, RUSSO, ALESSANDRA, BRODA, KRYSIA
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cambridge, UK Cambridge University Press 01.09.2016
Schlagworte:	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
Online-Zugang:	Volltext
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