EMANN - a model of emotions in an artificial neural network

With the work at hand we want to present a model of a neu-ral system, that is influenced by emotions. This model is based on the state of the art concept of artificial neural net-works (ANN) which we improve by adding ‘artificial emo-tions’. The way of the implementation of emotions is based on the research results regarding the biological and biochemi-cal processes modulating neural cells in animals and humans. The described modulation takes place not only on the level of synapses, but also on the level of calculations happening on the membrane of the cell, or the node of the ANN, re-spectively. The suggested model also includes the biologi-cal fact, that neuro modulatory glands (e.g., hypophysis) are mainly controlled by the neuronal system itself. The resulting