Observing Systems |
Contents
On SelfOrganizing Systems and Their Environments | 2 |
Computation in Neural Nets 6 | 24 |
Memory without Record | 91 |
Copyright | |
10 other sections not shown
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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