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100-step contraint is directed at implementation level
OpposingArgument
1
#455
The 100-step constraint simply demonstrates that symbolic processes are implemented differently in the brain than they are on a digital computer. The constraint has to do with trivial implementation details rather than real cognitive processes.
Jerry Fodor & Zenon Pylyshyn (1988).
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
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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
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The brain processes information in parallel »
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
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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
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100-step contraint is directed at implementation level
100-step contraint is directed at implementation level☜The 100-step constraint simply demonstrates that symbolic processes are implemented differently in the brain than they are on a digital computer. The constraint has to do with trivial implementation details rather than real cognitive processes.☜EF597B
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100-step constraint relevant to cognitive level »
100-step constraint relevant to cognitive level
100-step constraint relevant to cognitive level☜An algorithm classical systems execute in millions of time-steps may not be excecutable in 100-steps; thus, the constraint poses a nontrivial challenge to AI by severely limiting the class of cognitively plausible algorithms.☜EF597B
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Entered by:-
David Price
NodeID:
#455
Node type:
OpposingArgument
Entry date (GMT):
7/5/2006 11:26:00 AM
Last edit date (GMT):
12/12/2007 11:05:00 AM
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