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10th International Workshop on Approaches and Applications of Inductive Programming



The AAIP workshop series, started in 2005, is a bi-annual event aiming at promoting research in Inductive programming (IP), a field of machine learning concerned with learning executable programs in arbitrary programming languages, from incomplete specifications. IP is an important research direction for machine learning and artificial intelligence in general, since the general program synthesis task calls for approaches that go beyond the requirements of algorithms for concept learning. Pushing research forward in this area can give important insights in the nature and complexity of learning as well as enlarging the field of possible applications, which currently involve software engineering, language learning and AI-planning.


Call for Papers


TBA

Organizing Committee