Towards meta-interpretive learning of programming language semantics

Code

• github.com/barthasanyi/metagol_PLS
  OfficialIn papernone★ 0

Abstract

We introduce a new application for inductive logic programming: learning the semantics of programming languages from example evaluations. In this short paper, we explored a simplified task in this domain using the Metagol meta-interpretive learning system. We highlighted the challenging aspects of this scenario, including abstracting over function symbols, nonterminating examples, and learning non-observed predicates, and proposed extensions to Metagol helpful for overcoming these challenges, which may prove useful in other domains.

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Reproductions