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Since its birth, the field of Probabilistic Logic Programming has seen a steady increase of activity, with many proposals for languages and algorithms for inference and learning.This book aims at providing an overview of the field with a special emphasis on languages under the Distribution Semantics, one of the most influential approaches.
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