Observing SystemsIntersystems Publications, 1984 - 331 pagina's |
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Pagina xvi
... course we should think of relations between components and not tie them to their materiality . Of course self - organization is pervasive in nature . Of course , the nervous system must have mechanism which are both universal and ...
... course we should think of relations between components and not tie them to their materiality . Of course self - organization is pervasive in nature . Of course , the nervous system must have mechanism which are both universal and ...
Pagina 56
... course , an indication of detection sensitivity . Inspection of fig . 274 shows that this element is a poor edge detector in the dark , but does very well in bright light . It might be worthwhile to note that a reversed action function ...
... course , an indication of detection sensitivity . Inspection of fig . 274 shows that this element is a poor edge detector in the dark , but does very well in bright light . It might be worthwhile to note that a reversed action function ...
Pagina 207
... course , in his definition of Cybernetics as the science of " communication and control in the animal and the machine " Norbert Wiener went one step further in the generalization of these concepts , and today " Cybernetics " has ...
... course , in his definition of Cybernetics as the science of " communication and control in the animal and the machine " Norbert Wiener went one step further in the generalization of these concepts , and today " Cybernetics " has ...
Inhoudsopgave
On SelfOrganizing Systems and Their Environments | 2 |
Computation in Neural Nets 6 | 24 |
Memory without Record | 91 |
Copyright | |
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action function activity Ashby associated assume behavior Biological Bionics brain cells Clearly cognitive concepts connection Consequently consider COORD course Cybernetics defined demon density effectors Eigenvalues elementary elements entropy environment epistemology equation equivalent example expression fibers Figure finite state machine formalism genetic given HEINZ VON FOERSTER Hence Heterarchy inhibitory input Inselberg instance interaction internal invariance layer learning linear living organisms logical functions mathematical matrix Maturana Maxwell's Demon McCulloch measure measure function mechanisms memory ment molecular molecules n-sequence nets neural neuron Neurophysiology objects observed output principle probability distribution problem processes properties proposition pulse question receptor recursive reference relation representation represents response Science self-organizing system semantic sensory sequence stimulus structure suggested surface symbols synaptic tesselations theory threshold tion transfer function trivial machine uncertainty University of Illinois Urbana values variables words York