Extends MIL to learn higher-order programs via higher-order background knowledge, with theory showing reduced hypothesis space and experiments on four domains showing better accuracy and speed than first-order learning.
Exploiting answer set programming with exter- nal sources for meta-interpretive learning
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2019 2verdicts
UNVERDICTED 2representative citing papers
Introduces the IGGP problem and dataset from 50 GGP games, showing existing ILP systems solve at most 40% of tasks perfectly.
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Learning higher-order logic programs
Extends MIL to learn higher-order programs via higher-order background knowledge, with theory showing reduced hypothesis space and experiments on four domains showing better accuracy and speed than first-order learning.
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Inductive general game playing
Introduces the IGGP problem and dataset from 50 GGP games, showing existing ILP systems solve at most 40% of tasks perfectly.