AAAI Publications, The Thirty-Second International Flairs Conference

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Integrating Typed Model Counting into First-Order Maximum Entropy Computations and the Connection to Markov Logic Networks
Marco Wilhelm, Gabriele Kern-Isberner, Marc Finthammer, Christoph Beierle

Last modified: 2019-05-04


The principle of maximum entropy (MaxEnt) provides a well-founded methodology for commonsense reasoning based on probabilistic conditional knowledge. We show how to calculate MaxEnt distributions in a first-order setting by using typed model counting and condensed iterative scaling. Further, we discuss the connection to Markov Logic Networks for drawing inferences.

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