Languages, Semantics, Inference and Learning
Focusing on probabilistic logic programming, this book offers a comprehensive overview of languages that operate under distribution semantics. It explores key concepts related to semantics, inference, and learning, while also emphasizing the interconnections between various methods in the field.
This book constitutes the thoroughly refereed post-proceedings of the 22nd International Conference on Inductive Logic Programming, ILP 2012, held in Dubrovnik, Croatia, in September 2012. The 18 revised full papers were carefully reviewed and selected from 41 submissions. The papers cover the following topics: propositionalization, logical foundations, implementations, probabilistic ILP, applications in robotics and biology, grammatical inference, spatial learning and graph-based learning.