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  • A main motivation behind neural networks is the fact that symbolic rules do not reflect reasoning processes performed by humans.

  • Biological neural systems can capture highly parallel computations based on representations that are distributed over many neurons.

  • They learn and generalize from training data; no need for programming it all...

  • They are very noise tolerant – better resistance than symbolic systems.

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