Artificial Intelligence Techniques |
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A-unit adaline applied Artificial Intelligence axon basic behavior binary logical element biological Bionics brain C. E. Shannon capability circuit classification cochlea complex components conditional probability connections decision dendrite depends descriptor electronic error excitation fibers Figure formal neuron FORTRAN functions G. W. Zopf game tree goal network human implemented input signals intelligence interconnected large number learned criteria learning network learning system M. R. Kare machine major mechanism minterm model environment nerve nervous system Neural neuristor neuron models number of inputs operation organization output particular Pattern Recognition perceptron perform possible principles Probabilistic Logics problem pulse punishment signals random refractory refractory period reinforcement response retina scala vestibuli selection Self-Organizing sensor sequence shown in Fig simulate specific statistical switch stimulus storage synaptic techniques Theory threshold level tic-tac-toe tion total number Venn diagram York