The paper applies meta-interpretive learning to infer programming language semantics from evaluation examples, identifies key challenges, and proposes Metagol extensions.
In: SNAPL (2019)
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Towards meta-interpretive learning of programming language semantics
The paper applies meta-interpretive learning to infer programming language semantics from evaluation examples, identifies key challenges, and proposes Metagol extensions.