Semantics can emerge from programs that learn
A 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.
For example, a rule-based system must be able to generate new rules, a frame-based a system must be able to generate new frames, and so forth.

Paul Thagard, 1986.
Immediately related elementsHow this works
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Artificial Intelligence Â»Artificial Intelligence
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Can computers think? [1] Â»Can computers think? [1]
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Yes: physical symbol systems can think [3] Â»Yes: physical symbol systems can think [3]
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The Chinese Room Argument [4] Â»The Chinese Room Argument [4]
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The Syntax-Semantics Barrier Â»The Syntax-Semantics Barrier
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Programs that learn can overcome the barrier Â»Programs that learn can overcome the barrier
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Semantics can emerge from programs that learn
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