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Use of symbolic inductive biases for few-shot learning in humans and machines
People are capable of learning with very little data. We argue that this is because people possess an symbolic inductive bias, consistent with the language of thought (LoT) hypothesis (Fodor & Pylyshn, 1988). To evaluate this claim, participants were asked to learn list functions by predicting h
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