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Dominik Jain edited this page Oct 29, 2017 · 4 revisions

ProbCog is a statistical relational learning and reasoning system that supports efficient learning and inference in relational domains. We provide an extensive set of open-source tools for both undirected and directed statistical relational models.

Though ProbCog is a general-purpose software suite, it was designed with the particular needs of technical systems in mind. Our methods are geared towards practical applicability and can easily be integrated into other applications. The tools for relational data collection and transformation facilitate data-driven knowledge engineering, and the availability of graphical tools makes both learning or inference sessions a user-friendly experience. Scripting support enables automation, and for easy integration into other applications, we provide a client-server library.

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This project was partly funded by the cluster of excellence CoTeSys (Cognition for Technical Systems) as part of the excellence initiative of the German Research Foundation, DFG.

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