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

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

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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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Agent Systems Research GroupVU University AmsterdamAmsterdamThe Netherlands

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