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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