| Abstract: |  This Bachelor Thesis investigates online identification of a blackbox system in discrete time domain. The main objective is to investigate the emergence of complex temporal dynamics from several models of simple dynamical systems. The ensemble parametric model, that combines simple models of dynamical systems is built. The parameters of the ensemble model are altered online by optimization procedure performed by evolutionary algorithm. The model is algorithmized and implemented as neural module that could be connected into framework of hybrid artificial neural network. This neural network represents an architecture of autonomous intelligent agent and the aim of the module would be to improve agents interpretation of temporal dynamics of the environment. This thesis deepens the research conducted for the last thirteen years by Prof. Assoc. Pavel Nahodil and recently by Ing. Jaroslav Vitku on Department of Cybernetics on CTU in Prague.
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