Titlebook: Network-Oriented Modeling; Addressing Complexit Jan Treur Book 2016 Springer International Publishing Switzerland 2016 Approximating joint-

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How Emotions Come in Between Everythingany other mental processes and behaviour. Based on this, in this chapter it is explored how a Network-Oriented Modeling approach can be used to model the dynamics and interaction of emotions. Using this approach it is illustrated by temporal-causal network models, for example, how emotions relate in

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Dreaming Your Fear Awayed to learn fear extinction. The network model addresses dreaming as internal simulation incorporating memory elements in the form of sensory representations and their associated fear. During dream episodes regulation of fear takes place, which is strengthened in an adaptive manner by Hebbian learni

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Emotions as a Vehicle for Rationality in Decision Makinging of action options based on predictive loops through feeling states. Hebbian learning is used for different types of connections in the adaptive network model. To assess the extent of rationality, a measure is introduced reflecting the environment’s behaviour. Simulation results and the extents o

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