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Computational Foundations of Natural Intelligence

View ORCID ProfileMarcel van Gerven
doi: https://doi.org/10.1101/166785
Marcel van Gerven
Donders Institute for Brain, Cognition and Behaviour Radboud University, Nijmegen, the Netherlands
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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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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted July 25, 2017.
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Computational Foundations of Natural Intelligence
Marcel van Gerven
bioRxiv 166785; doi: https://doi.org/10.1101/166785
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Computational Foundations of Natural Intelligence
Marcel van Gerven
bioRxiv 166785; doi: https://doi.org/10.1101/166785

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