Observing SystemsIntersystems Publications, 1984 - 331 pagina's |
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Pagina 159
... internal states z provided the machine with an appreciation - however small - of its past history , we shall now give an interpretation of the internal states z as being a selector for a specific function in a set of multivalued logical ...
... internal states z provided the machine with an appreciation - however small - of its past history , we shall now give an interpretation of the internal states z as being a selector for a specific function in a set of multivalued logical ...
Pagina 166
... internal state change . The whole system , and its parts , have become trivial machines . Since , even with maximum semantic tolerance , one cannot say a trivial machine has memory , one wonders what is in- tended to be measured when at ...
... internal state change . The whole system , and its parts , have become trivial machines . Since , even with maximum semantic tolerance , one cannot say a trivial machine has memory , one wonders what is in- tended to be measured when at ...
Pagina 325
... Internal frequency , 39-41 Internal function ; present , 172 ; subse- quent , 172 Internal states , 156-161 , 165-166 Invariable displacement , 146 Invariance , 260 , 264 Inverse function , 158 Ions , 81 ; negative , 80 , 82 ; positive ...
... Internal frequency , 39-41 Internal function ; present , 172 ; subse- quent , 172 Internal states , 156-161 , 165-166 Invariable displacement , 146 Invariance , 260 , 264 Inverse function , 158 Ions , 81 ; negative , 80 , 82 ; positive ...
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