bioRxiv · 10.1101/166785
Computational Foundations of Natural Intelligence
Abstract
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.
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van Gerven, M.. 2017-07-21. Computational Foundations of Natural Intelligence. https://doi.org/10.1101/166785
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