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Humans learn by adding symbolic data to knowledge base
SupportiveArgument
1
#463
Both machines and people learn by adding symbolically encoded information to a knowledge base.
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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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Humans learn by adding symbolic data to knowledge base
Humans learn by adding symbolic data to knowledge base☜Both machines and people learn by adding symbolically encoded information to a knowledge base.☜98CE71
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Computers never move beyond explicit rules »
Computers never move beyond explicit rules
Computers never move beyond explicit rules☜In acquiring skills humans initially use explicit rules and then advance through stages in which performance becomes increasingly skilled, fluid and habituated. At the highest level the rules are no longer consulted. Computers stay tied to rules.☜EF597B
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Learning is a process of interpretation »
Learning is a process of interpretation
Learning is a process of interpretation☜A mind, reasoning dialectically and predicationally, learns by interpreting what it perceives in terms of the meaning of what it perceives; as computers dont work with meanings, interpretation and the relevant kind of learning is impossible.☜EF597B
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Motivational factors cause different rates of learning »
Motivational factors cause different rates of learning
Motivational factors cause different rates of learning☜Humans learn more efficiently when motivated by supplementary knowledge—e.g. by metaphorically motivated knowledge. For computers the opposites the case: they work less efficiently when forced to deal with supplementary knowledge.☜EF597B
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Entered by:-
David Price
NodeID:
#463
Node type:
SupportiveArgument
Entry date (GMT):
7/5/2006 4:06:00 PM
Last edit date (GMT):
12/12/2007 11:51:00 AM
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