Abstract
The realization of ‘Artificial General Intelligence (AGI)/Strong Artificial Intelligence (SAI)’ is a great goal/dream that challenges our many disciplines. In the article “A system hierarchy for brain-inspired computing”, published by Nature, the authors propose a notion called ‘neuromorphic completeness’ for brain-inspired systems, and claim that brain-inspired computing provides a promising platform for the development of AGI. This critical paper presents some comments to show that the definition of ‘neuromorphic completeness’ has essentially serious problems and the authors’ claims do not hold logically at all. The paper then proposes and discusses some new general requirements for the realization of ‘AGI/SAI’ to show that there is no enough evidence supporting the claim that brain-inspired computing can provide a promising platform for the realization of ‘AGI/SAI’.
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Cheng, J. (2022). Can “Neuromorphic Completeness” and “Brain-Inspired Computing” Provide a Promising Platform for Artificial General Intelligence?. In: Li, X. (eds) Advances in Intelligent Automation and Soft Computing. IASC 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 80. Springer, Cham. https://doi.org/10.1007/978-3-030-81007-8_14
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DOI: https://doi.org/10.1007/978-3-030-81007-8_14
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