Observing SystemsIntersystems Publications, 1984 - 331 pagina's |
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Pagina 29
... equivalent action network ( b ) . || x1 | X ยท Here we have one indication of the difficulty of establishing uniquely the receptor field of a par- ticular element , because an observer who is aware of the presence of cascades would main ...
... equivalent action network ( b ) . || x1 | X ยท Here we have one indication of the difficulty of establishing uniquely the receptor field of a par- ticular element , because an observer who is aware of the presence of cascades would main ...
Pagina 54
... equivalent two- input element network ( d ) . symbolic representation ( e ) . ( 1 ). ventent . In order to establish in an actual case the action function of , say , element of in the re- ceptor set , it is necessary to keep just this ...
... equivalent two- input element network ( d ) . symbolic representation ( e ) . ( 1 ). ventent . In order to establish in an actual case the action function of , say , element of in the re- ceptor set , it is necessary to keep just this ...
Pagina 174
... equivalent to a non- trivial finite state machine . * Instead of citing further properties of the functional organization of finite function machines , it may be profitable to have a glance at various possibilities of their structural ...
... equivalent to a non- trivial finite state machine . * Instead of citing further properties of the functional organization of finite function machines , it may be profitable to have a glance at various possibilities of their structural ...
Inhoudsopgave
On SelfOrganizing Systems and Their Environments | 2 |
Computation in Neural Nets 6 | 24 |
Memory without Record | 91 |
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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