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Programs that learn can overcome the barrier
ArgumentOpposé
1
#815
If a computer is given the ability to learn it can generate semantics from low-level syntax.
Note
: Also, see the "Can physical symbol systems learn as humans do?" arguments on map 3.
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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
▲
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
▲
The Chinese Room Argument [4] »
The Chinese Room Argument [4]
The Chinese Room Argument [4]âInstantiation of a formal program isnt enough to produce semantic understanding or intentionality. A man who doesnt understand Chinese, can answer written Chinese questions using an English rulebook telling him how to manipulate Chinese symbols.âEF597B
▲
The Syntax-Semantics Barrier »
The Syntax-Semantics Barrier
The Syntax-Semantics BarrierâAxiom 1: programs are formal (syntactic). Axiom 2: human minds have mental contents (semantics). Axiom 3: syntax by itself is neither constitutive of nor sufficient for semantics. Conc: programs are neither constitutive of nor sufficient for minds.â98CE71
■
Programs that learn can overcome the barrier
Programs that learn can overcome the barrierâIf a computer is given the ability to learn it can generate semantics from low-level syntax.âEF597B
●
Internal semantics in syntactic networks that learn »
Internal semantics in syntactic networks that learn
Internal semantics in syntactic networks that learnâA network of appropriately connected syntactical symbolsâwhich can learn by deriving consequences from inputsâpossesses internal semantics and can be said to understand as human understanding seems to result from the same kind of internal semantics.â98CE71
●
Semantics can emerge from programs that learn »
Semantics can emerge from programs that learn
Semantics can emerge from programs that learnâA system with sufficiently complex learning mechanisms can possess semantics if it meets a principle of inductive adequacy: ie the system should possess inductive mechanisms capable of producing all the knowledge constructs it uses in its behaviour.â98CE71
●
Learning programs don't help »
Learning programs don't help
Learning programs don't helpâThe syntax-semantics barrier is not overcome by complex learning procedures. A liver is complex but it doesnt understand anything. Making a program complex wont give it understanding either.âEF597B
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Entrée par:
David Price
NodeID:
#815
Node type:
OpposingArgument
Date d'entrée (GMT):
8/2/2006 4:55:00 PM
Date de la derniĂšre modification (Heure GMT):
8/2/2006 4:55:00 PM
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