Abstract
In this paper an adaptive agent model is presented that models how recurrent dreams such as nightmares occur. In the agent model recurring dreams emerge as scripts of connected dream episodes in which the connections between the episodes strengthen over time by Hebbian learning. The model was evaluated by a number of simulation experiments.
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de Kemp, V., Treur, J. (2012). An Adaptive Agent Model for the Emergence of Recurring Dream Scripts Based on Hebbian Learning. In: Ding, W., Jiang, H., Ali, M., Li, M. (eds) Modern Advances in Intelligent Systems and Tools. Studies in Computational Intelligence, vol 431. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30732-4_4
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DOI: https://doi.org/10.1007/978-3-642-30732-4_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30731-7
Online ISBN: 978-3-642-30732-4
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