Perspectives of Neural-Symbolic Integration (Hardcover, 2007 ed.)

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.

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