Best-effort inductive logic programming via fine-grained cost-based hypothesis generation The inspire system at the inductive logic programming competition

We describe the Inspire system which participated in the first competition on inductive logic programming (ILP). Inspire is based on answer set programming (ASP). The distinguishing feature of Inspire is an ASP encoding for hypothesis space generation: given a set of facts representing the mode bias...

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Veröffentlicht in:	Machine learning Jg. 107; H. 7; S. 1141 - 1169
Hauptverfasser:	Schüller, Peter, Benz, Mishal
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.07.2018
Schlagworte:	Artificial Intelligence Computer Science Control Mechatronics Natural Language Processing (NLP) Robotics Simulation and Modeling Special Issue of the Inductive Logic Programming (ILP) 2016 Best-effort Hypothesis generation Rule complexity Inductive logic programming Answer set programming
ISSN:	0885-6125, 1573-0565
Online-Zugang:	Volltext
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