New developments in AI and neuroscience are revitalizing the quest to understanding natural intelligence, offering insight about how to equip machines with human-like capabilities. This paper reviews some of the computational principles relevant for understanding natural intelligence and, ultimately, achieving strong AI. After reviewing basic principles, a variety of computational modeling approaches is discussed. Subsequently, I concentrate on the use of artificial neural networks as a framework for modeling cognitive processes. This paper ends by outlining some of the challenges that remain to fulfill the promise of machines that show human-like intelligence.
CITATION STYLE
van Gerven, M. (2017, December 7). Computational foundations of natural intelligence. Frontiers in Computational Neuroscience. Frontiers Media S.A. https://doi.org/10.3389/fncom.2017.00112
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