## Fundamentals of cybernetics |

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achieved algorithm amount of information analogue automatic automaton behaviour binary brain calculated cell characteristics circuit complex components conditional entropy considered control actions control devices control signals control system controlled quantity coordinates corresponds cybernetic systems depends determined diagram digital computers dynamic system electronic amplifier elements ensure entropy equal equilibrium example given graph increase initial input values instance isochronous large number Let us assume limit living organisms logical functions machine maximum means medium methods mixed strategy motor movement necessary negentropy nervous system neuron objects obtained operation optimal control oscillations output values Perceptron phase portrait phase space plant player position possible probabilistic automaton probability programme properties pulses pure strategies random random variable realised regime representative point result saddle point sequence shown in Fig solution solving space speed strategy structure Table temperature transformation transition transmission coefficient Turing machine variables voltage zero