Stochastic Relational AI at KI-2018
The 41st German Conference on Artificial Intelligence
September 24-28th, 2018, Berlin, Germany
Tanya
Braun is a research associate at Universität zu
Lübeck,
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.