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    Neural implementation details don't determine whether con... — Carmelics
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    Challenges→If psychological reality of grammar does not require explicit symbolic representation of rules, P2's classical assumption breaks the inference chain from grammar to innate abstract concepts.

    Neural implementation details don't determine whether concepts are abstract or innate—substrate independence means symbolic and connectionist systems can instantiate identical abstractions.

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    Key Terms

    Abstract concepts(in epistemology and cognitive science)
    Ideas that don't refer to physical objects you can touch, like 'justice,' 'love,' or 'number,' as opposed to concrete things like 'chair' or 'tree.'
    Connectionist systems(in cognitive science and AI)
    Computer systems inspired by how brains work, using networks of simple units that connect and learn from experience rather than following programmed rules—also called neural networks.
    Innate(describing knowledge or abilities present from birth)
    Something you're born with or that comes naturally built into you, rather than something you learn or develop over time.
    Neural implementation details(in philosophy of mind)
    The specific physical characteristics of how a brain or computer actually processes information—like whether it uses biological neurons or silicon circuits.

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    Substrate independence(in philosophy of mind and artificial intelligence)
    The idea that certain patterns or programs can work the same way no matter what physical material runs them—like how the same software runs on different computers.
    Symbolic systems(in cognitive science and AI)
    Computer or thinking systems that work by manipulating symbols (like words or mathematical signs) according to logical rules, similar to how humans use language.
    instantiate(as used in metaphysics)
    To be a concrete example of something, or to have and display a particular property or category.

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