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100-step contraint is directed at implementation level
Einwand
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).
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Artificial Intelligence »
Artificial Intelligence
Artificial IntelligenceâA collaboratively editable version of Robert Horns brilliant and pioneering debate map Can Computers Think?âexploring 50 years of philosophical argument about the possibility of computer thought.âF1CEB7
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Can computers think? [1] »
Can computers think? [1]
Can computers think? [1]âCan a computational system possess all important elements of human thinking or understanding? âFFB597
▲
Yes: physical symbol systems can think [3] »
Yes: physical symbol systems can think [3]
Yes: physical symbol systems can think [3]âThinking 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. â59C6EF
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The Biological Assumption »
The Biological Assumption
The Biological AssumptionâThe 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.â98CE71
▲
Brain has a von Neumann architecture »
Brain has a von Neumann architecture
Brain has a von Neumann architectureâThree 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.â98CE71
▲
The brain processes information in parallel »
The brain processes information in parallel
The brain processes information in parallelâVon 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.âEF597B
▲
The 100-step constraint »
The 100-step constraint
The 100-step constraintâAlogrithms 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.â98CE71
■
100-step contraint is directed at implementation level
100-step contraint is directed at implementation levelâThe 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.âEF597B
●
100-step constraint relevant to cognitive level »
100-step constraint relevant to cognitive level
100-step constraint relevant to cognitive levelâAn 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.âEF597B
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Eingabe von:
David Price
NodeID:
#455
Node type:
OpposingArgument
Eingabedatum (GMT):
7/5/2006 11:26:00 AM
Zuletzt geÀndert am (GMT):
12/12/2007 11:05:00 AM
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