Gary Marcus identifies four cognitive prerequisites for building robust artificial intelligence: (1) hybrid architectures that combine large-scale learning with the representational and computational powers of symbol manipulation, (2) large-scale knowledge bases—likely leveraging innate frameworks—that incorporate symbolic knowledge along with other forms of knowledge, (3) reasoning mechanisms capable of leveraging those knowledge bases in tractable ways, and (4) rich cognitive models that work together with those mechanisms and knowledge bases.

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  Neuro-symbolic AI - Wikipedia

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• Neuro-symbolic AI - Wikipedia en.wikipedia.org Wikipedia via serper

Referenced by nodes (4)

• artificial intelligence concept
• knowledge base concept
• Gary Marcus entity
• reasoning processes concept