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Sequential Neuro-Symbolic AI (NSAI) architecture involves systems where both input and output are symbolic, utilizing a neural network as a mediator for processing. The process involves mapping symbolic input into a continuous vector space, processing it via a neural network to learn patterns, and decoding the resulting vector back into a symbolic form that aligns with the input domain's structure and semantics.

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