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Humans learn by adding symbolic data to knowledge base
UnterstĂŒtzendes Argument
1
#463
Both machines and people learn by adding symbolically encoded information to a knowledge base.
Immediately related elements
How this works
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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
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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]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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Humans learn by adding symbolic data to knowledge base
Humans learn by adding symbolic data to knowledge baseâBoth machines and people learn by adding symbolically encoded information to a knowledge base.â98CE71
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Computers never move beyond explicit rules »
Computers never move beyond explicit rules
Computers never move beyond explicit rulesâIn 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.âEF597B
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Learning is a process of interpretation »
Learning is a process of interpretation
Learning is a process of interpretationâA 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.âEF597B
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Motivational factors cause different rates of learning »
Motivational factors cause different rates of learning
Motivational factors cause different rates of learningâHumans learn more efficiently when motivated by supplementary knowledgeâe.g. by metaphorically motivated knowledge. For computers the opposites the case: they work less efficiently when forced to deal with supplementary knowledge.âEF597B
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Eingabe von:
David Price
NodeID:
#463
Node type:
SupportiveArgument
Eingabedatum (GMT):
7/5/2006 4:06:00 PM
Zuletzt geÀndert am (GMT):
12/12/2007 11:51:00 AM
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