Observing SystemsIntersystems Publications, 1984 - 331 pagina's |
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Pagina 27
... effector is usually thought of as an element that produces an effect outside of its own network . This observation ... effectors un through labels 1m . Consequently , a new ma- trix can be set up , an " action matrix " , which has ...
... effector is usually thought of as an element that produces an effect outside of its own network . This observation ... effectors un through labels 1m . Consequently , a new ma- trix can be set up , an " action matrix " , which has ...
Pagina 43
... effector " ( muscle cell in a sponge ) that translates directly a general " stimulus " into action contraction in most cases . The first ste um detection to discrimi- nation is accomplished by separating detection and action and ...
... effector " ( muscle cell in a sponge ) that translates directly a general " stimulus " into action contraction in most cases . The first ste um detection to discrimi- nation is accomplished by separating detection and action and ...
Pagina 50
... effectors . A weak geometrical con- straint , which does not affect the generality of some of the following theorems but facilitates description , is to assume spatial separation of receptors and effectors . The locus of all general ...
... effectors . A weak geometrical con- straint , which does not affect the generality of some of the following theorems but facilitates description , is to assume spatial separation of receptors and effectors . The locus of all general ...
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