Perspectives of Neural-Symbolic Integration

by Barbara Hammer (editor), Pascal Hitzler

When it comes to robotics and bioinformatics, the Holy Grail everyone is seeking is how to dovetail logic-based inference and statistical machine learning. This volume offers some possible solutions to this eternal problem. Edited with flair and sensitivity by Hammer and Hitzler, the book contains state-of-the-art contributions in neural-symbolic integration, covering 'loose' coupling by means of structure kernels or recursive models as well as 'strong' coupling of logic and neural networks.

340 pages, Paperback

First published January 1, 2007