Statistical Relational Artificial Intelligence

Discover the cutting-edge world of artificial intelligence with "Statistical Relational Artificial Intelligence" by Luc De Kang, published by Springer International Publishing AG in 2016. This insightful hardback, spanning 175 pages, delves into two pivotal representations in the field: Markov logic networks and Problog. Markov logic networks serve as a relational extension of undirected graphical models and weighted first-order predicate calculus formula, while Problog offers a probabilistic extension of logic programs, recognized as a Turing-complete relational extension of Bayesian networks. This book is an essential read for anyone looking to deepen their understanding of statistical relational AI, making complex concepts accessible and engaging. Enhance your knowledge and stay ahead in this rapidly evolving domain with Luc De Kang's expert insights.