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David Rumelhart
Arguments advanced by David Rumelhart.
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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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Protagonists
Protagonists☜The contributions of over 300 protagonists can be explored via a surname search, or using the growing list developing here.☜D3B8AB
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David Rumelhart
David Rumelhart☜Arguments advanced by David Rumelhart.☜D3B8AB
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Regularity without rules
Regularity without rules ☜Connectionist networks exhibit lawful behaviour without following explicit rules. Regularities emerge from the interactions of low-level processing units, rather than from the application of high-level rules.☜FFFACD
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The Past-Tense Acquisition Model
The Past-Tense Acquisition Model☜This implemented network model was trained to convert English phrases into the past tense. Although the network’s performance can be described by rules, no actual rules are utilised in its processing.☜FFFACD
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Multilayer perceptrons can compute all relevant functions
Multilayer perceptrons can compute all relevant functions☜The limitations described by Minsky & Papert dont apply to multilayer networks.☜FFFACD
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Neurons recieve vastly more input
Neurons recieve vastly more input☜Neurons are connected to 1,000 to 100,000 other neurons. Logic gates are connected to only a handful of other logic gates. The difference indicates that the brain does not use the king of logical circuitary found in computers.☜FFFACD
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Brain accesses information by content not memory address
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Processing in the brain is distributed
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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.☜FFFACD
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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.☜FFFACD
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Explicit rules are unnecessary
Explicit rules are unnecessary☜Connectionist networks exhibit lawful behaviour without following explicit rules. Reguarlities emerge from the interactions of low-level processing units not from the application of high-level rules.☜FFFACD
⇥
David Rumelhart
David Rumelhart☜Arguments advanced by David Rumelhart.☜FFFACD
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Alan Turing
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Daniel Dennett
Daniel Dennett☜Arguments advanced by Daniel Dennett.☜D3B8AB
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David Chalmers
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George Lakoff
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Georges Rey
Georges Rey☜Arguments advanced by Georges Rey.☜D3B8AB
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Herbert Simon
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Hilary Putnam
Hilary Putnam☜Arguments advanced by Hilary Putnam.☜D3B8AB
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Hubert Dreyfus
Hubert Dreyfus☜Arguments advanced by Hubert Dreyfus.☜D3B8AB
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Hugh Loebner
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Jack Copeland
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John Lucas
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John Searle
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Joseph F. Rychlak
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L.J. Landau
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Roger Penrose
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Selmer Bringsjord☜Arguments advanced by Selmer Bringsjord.☜D3B8AB
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Stephen Kosslyn
Stephen Kosslyn☜Arguments advanced by Stephen Kosslyn.☜D3B8AB
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Zenon Pylyshyn
Zenon Pylyshyn☜Arguments advanced by Zenon Pylyshyn.☜D3B8AB
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Entered by:-
David Price
NodeID:
#2772
Node type:
Protagonist
Entry date (GMT):
7/20/2007 6:05:00 PM
Last edit date (GMT):
7/20/2007 6:05:00 PM
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