The ProbCog project designs and implements a statistical relational learning and reasoning system that supports efficient learning and inference in relational domains.
One of the project's achievements was the development of an open-source toolbox for statistical relational learning and reasoning, which was specifically tailored towards the needs of technical systems.
This project was partly funded by CoTeSys.
@InProceedings{jain10adaptive,
author = {Dominik Jain and Andreas Barthels and Michael Beetz},
title = {{Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters}},
pages = {937-942},
booktitle = {19th European Conference on Artificial Intelligence (ECAI)},
year = {2010},
bib2html_groups = {ProbCog}
}