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The evaluation of Neuro-Symbolic AI (NSAI) architectures uses a systematic approach relying on three sources: scientific literature for qualitative insights, empirical findings from experimental studies and benchmarks for quantitative data, and analysis of the design principles underlying each architecture.

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