Computational modeling of limbic system for control applications
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This paper deals with modeling the mechanisms of brain limbic system in making emotional decisions. First, the literature on using soft computing and non model-based algorithms in decision support and control problems is given. Then the foundations of brain limbic system in processing emotions are studied and a model capturing minimal characteristics of this system is developed. The model is verified by simulating on acquisition and blocking experiments. After verifying the model, it is adapted to be used in control system applications. The simulation results of controlling underwater depth of a simple model of a submarine, shows the acceptable performance of the model for this application domain.