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An Adaptive Agent Model for the Emergence of Recurring Dream Scripts Based on Hebbian Learning

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Book cover Modern Advances in Intelligent Systems and Tools

Part of the book series: Studies in Computational Intelligence ((SCI,volume 431))

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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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Correspondence to Valérie de Kemp .

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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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