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SIMPLE LEARNING SYSTEM
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A-unit A.B A.B adaline applied Artificial Intelligence axon basic behavior binary logical element biological Bionics brain C. E. Shannon capability cell circuits classify complex components Computer Conference AFIPS conditional probability connections dendrite descriptor diagram electronic environment excitation Figure formal neuron FORTRAN functions G. W. Zopf game tree goal network H. A. Simon human input signals intelligence interconnected large number 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 Pattern Recognition perceptron perform play possible principles Probabilistic Logics probability problem properties pulse punishment signals random refractory period reinforcement response retina selection Self-Organizing sensor sequence shown in Fig simulate Spartan Books specific statistical switch stimulus storage techniques Theory threshold level tic-tac-toe tion total number Venn diagram York