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Graceful degradation
SupportiveArgument
1
#450
The brain's performance diminishes in proportion to the degree of neuronal damage or noisy input, and gracefully degrades in problematic circumstances. In von Neumann machines, a single glitch tends to have catastrophic consequences for the whole.
David Rummelhart, James McClelland, & FARG (1986)
CONTEXT
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Artificial Intelligence »
Artificial Intelligence
Artificial Intelligence☜A collaboratively editable version of Robert Horns brilliant and pioneering debate map Can Computers Think?—exploring 50 years of philosophical argument about the possibility of computer thought.☜F1CEB7
▲
Can computers think? [1] »
Can computers think? [1]
Can computers think? [1]☜Can a computational system possess all important elements of human thinking or understanding? ☜FFB597
▲
Yes: physical symbol systems can think [3] »
Yes: physical symbol systems can think [3]
Yes: physical symbol systems can think [3]☜Thinking is a rule governed manipulation of symbolic representational structures. In humans, symbol systems are instantiated in the brain, but the same symbol systems can also be instantiated in a computer. ☜59C6EF
▲
The Biological Assumption »
The Biological Assumption
The Biological Assumption☜The brain is the hardware (or wetware) on which the software of the mind is run. Thinking is a symbolic process that is implemented in the neurons of the brain and that can also be implemented in the circuits of a digital computer.☜98CE71
▲
Brain has a von Neumann architecture »
Brain has a von Neumann architecture
Brain has a von Neumann architecture☜Three features of Von Neumann architecture also characterise processing in brains: 1) processing is sequential; 2) symbol strings are stored and accessed at specific memory addresses; 3) theres a central processing unit that controls processing.☜98CE71
▲
Processing in the brain is distributed »
Processing in the brain is distributed
Processing in the brain is distributed☜Processing in the brain is not mediated by some central control. Neural processing is distributed -- i.e. many regions contribute to the performance of any particular task.☜EF597B
■
Graceful degradation
Graceful degradation☜The brains performance diminishes in proportion to the degree of neuronal damage or noisy input, and gracefully degrades in problematic circumstances. In von Neumann machines, a single glitch tends to have catastrophic consequences for the whole.☜98CE71
●
Symbol structures can be distributed »
Symbol structures can be distributed
Symbol structures can be distributed☜A classicial symbol processor can be physically distributed in memory, and can thereby exhibit graceful degradation. So distributed systems like connectionist networks dont have any principled advatange over physical symbol systems.☜EF597B
◄
David Rumelhart »
David Rumelhart
David Rumelhart☜Arguments advanced by David Rumelhart.☜FFFACD
◄
James McClelland »
James McClelland
James McClelland☜Arguments advanced by James McClelland.☜FFFACD
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Entered by:-
David Price
NodeID:
#450
Node type:
SupportiveArgument
Entry date (GMT):
7/5/2006 10:41:00 AM
Last edit date (GMT):
10/21/2007 2:57:00 PM
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