Comprehensive overview of probabilistic logic programming languages and paradigms for modern practitioners
Detailed exploration of distribution semantics, inference, and learning algorithms for hybrid programs
Includes up-to-date information on probabilistic answer set programming and neuro-symbolic integration
Online execution environment for interactive learning at http://cplint.eu
Multiple editions and formats available for flexible access
Summarized by Shop
Probabilistic Logic Programming has seen a steady increase of activity, with many proposals for languages and algorithms for inference and learning. This 2nd edition aims to report the most exciting novelties in the field since the publication of the 1st edition, including semantics for hybrid programs, Probabilistic Answer Set Programmin