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Symbolic methods do indeed have properties that would be useful for reasoning, including a natural propensity for compositionality. But these useful properties are not "owned" by symbolic methods -- they are properties that learning-based methods can have too!
Show you that one-shot learning, compositionality, systematic generalization, etc, are not properties exclusive to symbolic methods? This is a positive claim, and the onus is on symbolists to prove it is true.
or show that it’s not.
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