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A comparative study is presented of language biases employed in specific-to-general learning systems within the Inductive Logic Programming (ILP) paradigm. More specifically, we focus on the biases employed in three well known systems: CLINT, GOLEM and ITOU, and evaluate both conceptually and empirically their strengths and weaknesses. The evaluation is(More)
Inductive Logic Programming (ILP) is often situated as a research area emerging at the intersection of Machine Learning and Logic Programming (LP) This paper makes the link more clear between ILP and LP, in particular, between ILP and Abductive Logic Programming (ALP), 1 e , LP extended with abductive reasoning We formulate a generic framework for handling(More)
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