Journal
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
Volume 11, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fncom.2017.00112
Keywords
natural intelligence; strong AI; cognition; artificial neural networks; machine learning
Funding
- VIDI grant from the Netherlands Organization for Scientific Research [639.072.513]
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New developments in Al 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 Al. 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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