Analyzing the explanatory power of bionic systems with the minimal cognitive grid

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SUMMARY

    Building artificial systems that can exhibit human-like and human-level behavioral capabilities represents one of the main goals of the two Sciences of the Artificial, namely, artificial_intelligence (AI) and computational cognitive science (CCS) (see Simon, 1980, 2019). The artificial components of such systems (used to replace biological ones) do not offer a direct explanatory role, in simulative terms, about how their internal mechanisms determine a given biological or cognitive function that is assumed to be replaced. The artificial replacement of a part of a biological system can provide i) a local functional account . . .

     

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