On relation between emotion and entropy

The ways of modelling some of the most profound effects of emotion and arousal on cognition are discussed. Entropy reduction is used to measure quantitatively the learning speed in a cognitive model under different parameters’ conditions. It is noticed that some settings facilitate the learning in particular stages of problem solving more than others. The entropy feedback is used to control these parameters and strategy, which in turn improves greatly the learning in the model as well as the model match with the data. This result may explain the reasons behind some of the neurobiological changes, associated with emotion and its control of the decision making strategy and behaviour.

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