Article
Version 2
Preserved in Portico This version is not peer-reviewed
From Homo Sapiens to Robo Sapiens: The Evolution of Intelligence
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Version 1
: Received: 30 October 2018 / Approved: 31 October 2018 / Online: 31 October 2018 (07:45:49 CET)
Version 2 : Received: 17 December 2018 / Approved: 18 December 2018 / Online: 18 December 2018 (11:38:15 CET)
Version 2 : Received: 17 December 2018 / Approved: 18 December 2018 / Online: 18 December 2018 (11:38:15 CET)
A peer-reviewed article of this Preprint also exists.
Raveh, A.R.; Tamir, B. From Homo Sapiens to Robo Sapiens: The Evolution of Intelligence. Information 2019, 10, 2. Raveh, A.R.; Tamir, B. From Homo Sapiens to Robo Sapiens: The Evolution of Intelligence. Information 2019, 10, 2.
Abstract
In this paper we present a review of recent developments in AI towards the possibility of an artificial intelligence equals that of human intelligence. AI technology has always shown a stepwise increase in its capacity and complexity. The last step took place several years ago, with the increased progress in deep neural network technology. Each such step goes hand in hand with our understanding of ourselves and our understanding of human cognition. Indeed, AI was always about the question of understanding human nature. AI percolates into our lives, changing our environment. We believe that the next few steps in AI technology, and in our understanding of human behavior, will bring about much more powerful machines, flexible enough to resemble human behavior. In this context, there are two research fields: Artificial Social Intelligence (ASI) and General Artificial Intelligence (AGI). The authors also allude to one of the main challenges for AI, embodied cognition, and explain how it can viewed as an opportunity for further progress in AI research.
Keywords
Artificial Intelligence (AI); artificial general intelligence (AGI); artificial social intelligence (ASI); social sciences; singularity; complexity; embodied cognition; value alignment
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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