RT Journal Article
SR Electronic
T1 Computational Foundations of Natural Intelligence
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 166785
DO 10.1101/166785
A1 Marcel van Gerven
YR 2017
UL http://biorxiv.org/content/early/2017/07/21/166785.abstract
AB 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.