Computational Foundations of Natural Intelligence

Front Comput Neurosci. 2017 Dec 7;11:112. doi: 10.3389/fncom.2017.00112. eCollection 2017.

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.

Keywords: artificial neural networks; cognition; machine learning; natural intelligence; strong AI.

Publication types

  • Review