Faculty of Computer Science

Research Group Theoretical Computer Science


Oberseminar: Heterogene formale Methoden


Date: 2022, June 21
Time: 10:45 a. m.
Place: G29-018
Author: Mossakowski, Till
Title: Neural Probabilistic Logic Programming in DeepProbLog

Abstract:

Last week, Janna and Martin have presented their ESC-Rules. This motivates a look at other rule-based approaches that integrate weights. ProbLog is probabilistic Prolog. Weights can be associated to facts and rules, and also to the resulting inferences. This has a certain similarity to Bayes' networks and allows for the more realistic modeling of real-world situations, where often a classical two-valued logic is too simple. DeepProbLog extends ProbLog in that the weights are not manually-designed, but rather learned using a neural network.


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