Abstract
The paper observes an approach to the implementation of the behavioral control system for robotic systems, based on the modeling both mechanisms of memorization and reproduction of motor acts. The models of neurons and neural networks for motion control are based on some well-known properties of the natural neural networks that controls muscle contraction. A feature of the model is the presence of neural network’s structural adaptation and the usage of a dynamic neuron’s model, which allows to describe the structure of dendrites and synapses. The hierarchy of motor memory model levels is described. The results of modeling the behavior of the neural motion control network are shown.
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© 2016 Springer International Publishing Switzerland
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Bakhshiev, A.V., Gundelakh, F.V. (2016). The Model of the Robot’s Hierarchical Behavioral Control System. In: Cheng, L., Liu, Q., Ronzhin, A. (eds) Advances in Neural Networks – ISNN 2016. ISNN 2016. Lecture Notes in Computer Science(), vol 9719. Springer, Cham. https://doi.org/10.1007/978-3-319-40663-3_37
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DOI: https://doi.org/10.1007/978-3-319-40663-3_37
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