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The brain processes information in parallel
OpposingArgument
1
#452
Von Neumann machines process information sequentially, one bit at a time. The brain receives and manipulates massive amounts of information at the same time, in parallel.
David Rummelhart, James McClelland, & FARG (1986).
Immediately related elements
How this works
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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
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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
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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
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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
■
The brain processes information in parallel
The brain processes information in parallel☜Von Neumann machines process information sequentially, one bit at a time. The brain receives and manipulates massive amounts of information at the same time, in parallel.☜EF597B
●
The 100-step constraint »
The 100-step constraint
The 100-step constraint☜Alogrithms modelling cognitive processes must meet the 100-step constraint for performing complex tasks imposed by the brains timescale. Classical sequential algorithms, which run in millions of time-steps now, seem unlikely to meet the constraint.☜98CE71
●
Symbol processing can take place in parallel »
Symbol processing can take place in parallel
Symbol processing can take place in parallel☜A classical system can be implemented in a parallel architecture: eg by executing multiple symbolic processes at the same time. So parallel processing systems, like connectionist networks, have no principled advantage over classical symbol systems.☜EF597B
●
Thought is serial despite parallel architecture »
Thought is serial despite parallel architecture
Thought is serial despite parallel architecture☜At the symbolic level, human thinking is a serial process, despite the parallelism of its neural implementation; eg to multiply 5 by 12 requries several small steps, in which 5 is multiplied by 2, then by 10, and then the results are added together.☜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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David Price
NodeID:
#452
Node type:
OpposingArgument
Įvedimo data (GMT):
7/5/2006 10:48:00 AM
Paskutinės redakcijos data (GMT laikas):
7/5/2006 10:48:00 AM
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