Abstract:Abstract. The paper considers supervised learning algorithm of nonlinear perceptron with dynamic targets adjustment which assists in faster learning and cognition. A difference between targets of the perceptron corresponding to objects of the first and second categories is associated with stimulation strength. A feedback chain that controls the difference between targets is interpreted as synthetic emotions. In a population of artificial agents that ought to learn similar pattern classification tasks, presence… Show more
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