Year: 2007
Type: conference-paper
Abstract: We present a fully connectionist system for the \nlearning of first-order logic programs and the generation \nof 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
Authors: Bader, S., Hitzler, Pascal, Hölldobler, S., Witzel, Andreas, Veloso, M.M.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2296231412
