Braun is a research associate at Universität zu
Kristian Kersting is a professor for Machine Learning at Darmstadt University, and
Ralf Möller is a professor for Information Systems at Universität zu Lübeck
Probabilistic relational modeling for artificial intelligence (also called stochastic relational AI) has attracted the interest of a huge number of researchers in the last ten years. Assuming a background in probability theory as well as in basics about Bayesian or Markovian networks, we shortly introduce specific probabilistic relational modeling approaches and focus on exact and approximative inference algorithms. Recent developments in the area of learning techniques will be presented as well.