ProbCog: Probabilistic Cognition for Technical Systems

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.

Acknowledgements

This project was partly funded by CoTeSys.

Publications

Modeling Cognitive Frames for Situations with Markov Logic Networks (bibtex)
@inproceedings{murray11frames,
  author = {William R. Murray and Dominik Jain},
  title = {{Modeling Cognitive Frames for Situations with Markov Logic Networks}},
  booktitle = {Proceedings of the 8th International NLPCS Workshop: Human-Machine Interaction in Translation, Copenhagen Studies in Language 41},
  pages = {167--178},
  publisher = {Samfundslitteratur},
  month = {August 11},
  year = {2011},
  bib2html_groups = {ProbCog}
}
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