Toward the Starting Line: A Systems Engineering Approach to Strong AI
Abstract
Artificial General Intelligence (AGI) or Strong AI aims to create machines with human-like or human-level intelligence, which is still a very ambitious goal when compared to the existing computing and AI systems. After many hype cycles and lessons from AI history, it is clear that a big conceptual leap is needed for crossing the starting line to kick-start mainstream AGI research. This position paper aims to make a small conceptual contribution toward reaching that starting line. After a broad analysis of the AGI problem from different perspectives, a system-theoretic and engineering-based research approach is introduced, which builds upon the existing mainstream AI and systems foundations. Several promising cross-fertilization opportunities between systems disciplines and AI research are identified. Specific potential research directions are discussed.
Cite
@article{arxiv.1707.09095,
title = {Toward the Starting Line: A Systems Engineering Approach to Strong AI},
author = {Tansu Alpcan and Sarah M. Erfani and Christopher Leckie},
journal= {arXiv preprint arXiv:1707.09095},
year = {2017}
}
Comments
11 pages, 3 figures