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Boltzmann Machines vs Back-Propagation networks

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I'm wondering, are there any circumastances within game AI where you would want to use a Boltzmann Machine (A kind of noisy version of the Hopfield Net, with a hidden layer) over Back-Propagation networks? Back-Propagation nets seem to be much faster, both in training and execution. I'm just wondering whether anyone sees any advantage in using the Boltzmann Machine instead? ...

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