Observing SystemsIntersystems Publications, 1984 - 331 pagina's |
Vanuit het boek
Resultaten 1-3 van 28
Pagina 114
... brain - in terms of a finite number of states and the probability of their occurrence . If this is done , H. ( Brain ) can be calculated from Equation ( 7 ) . To this end , I suggest interpreting " brain " as a set of finite number of ...
... brain - in terms of a finite number of states and the probability of their occurrence . If this is done , H. ( Brain ) can be calculated from Equation ( 7 ) . To this end , I suggest interpreting " brain " as a set of finite number of ...
Pagina 209
... brains involved by discussing now " The one - brain problem , " " The two - brain problem , " " The many - brain problem , " and " The all- brain problem . " 1. The Single - Brain Problem : The Brain Sciences - It is clear that if the brain ...
... brains involved by discussing now " The one - brain problem , " " The two - brain problem , " " The many - brain problem , " and " The all- brain problem . " 1. The Single - Brain Problem : The Brain Sciences - It is clear that if the brain ...
Pagina 237
... brain . Of course , these systems do not store information , they store books , tapes , microfiche or other sorts of documents , and it is again these books , tapes , microfiche or other documents that are retrieved which only if looked ...
... brain . Of course , these systems do not store information , they store books , tapes , microfiche or other sorts of documents , and it is again these books , tapes , microfiche or other documents that are retrieved which only if looked ...
Inhoudsopgave
On SelfOrganizing Systems and Their Environments | 2 |
Computation in Neural Nets 6 | 24 |
Memory without Record | 91 |
Copyright | |
10 andere gedeelten niet getoond
Veelvoorkomende woorden en zinsdelen
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