Abstract
We conducted two experiments with the One-Armed Bandit, one at the VFW lodge at Salisbury, MD. and another at the Taj Mahal Casino and Hotel, at Atlantic City. We trained a backpropagation Neural Network using the patterns of hundreds of successive pulls as input. We show that is is possible to predict, by a trained Network, the pattern of the ensuing combination.
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Lin, F.C., Ju, X. (2000). Investigation of the One-Armed Bandit by Neural Network. In: Cairó, O., Sucar, L.E., Cantu, F.J. (eds) MICAI 2000: Advances in Artificial Intelligence. MICAI 2000. Lecture Notes in Computer Science(), vol 1793. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720076_36
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DOI: https://doi.org/10.1007/10720076_36
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