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    Classical syntactic engines operate over discrete, contex... — Carmelics
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    Supports→The classical 'syntactic engine' is not an adequate model for human thought.

    Classical syntactic engines operate over discrete, context-independent symbol tokens and cannot represent the holistic, context-sensitive background of embodied know-how.

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    1 reason for
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    Reasons For

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    Reason for
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    • 1.Embodied skills like riding a bike involve motor memory and proprioceptive feedback that discrete symbols cannot capture or manipulate.
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    • 2.Context-sensitivity requires understanding unstated background assumptions; symbol systems lack access to the agent's lived situation.
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    • 3.Human experts demonstrate intuitive judgment in novel situations that exceeds what can be derived from explicit symbolic rules alone.
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    Reasons Against

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    Reason against
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    • 1.Neural networks manipulate discrete parameters but achieve context-sensitive behavior without explicit symbols, suggesting discreteness isn't the limiting factor.
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    • 2.Embodied know-how can be functionally reconstructed through high-dimensional representations; background knowledge needn't be phenomenologically present.
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    • 3.The claim conflates implementation substrate (discrete vs. continuous) with representational capacity; symbol systems can reference embodied states indirectly.
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    Connections

    2 topics

    Consciousness & Mind1 linkedPhilosophy of Language1 linked

    Related

    Context-sensitivity requires understanding unstated background assumptions; symb...Embodied know-how can be functionally reconstructed through high-dimensional rep...Embodied skills like riding a bike involve motor memory and proprioceptive feedb...Human experts demonstrate intuitive judgment in novel situations that exceeds wh...
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    Neural networks manipulate discrete parameters but achieve context-sensitive beh...The claim conflates implementation substrate (discrete vs. continuous) with repr...The classical 'syntactic engine' is not an adequate model for human thought.

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    claim
    Perspectives
    2 (1 for, 1 against)
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