Proceedings

A Fully Connectionist Model Generator for Covered First-Order Logic Programs

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Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 666-670.

Abstract

We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples, we embed the associated semantic operator into a feed-forward network and train the network using the examples. This results in the learning of first-order knowledge while damaged or noisy data is handled gracefully.

Sebastian Bader, Pascal Hitzler, Steffen Hölldobler, and Andreas Witzel. 2007. A Fully Connectionist Model Generator for Covered First-Order Logic Programs. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07. IJCAI, 666–670. https://ijcai.org/proceedings/2007/106
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