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Toward the Starting Line: A Systems Engineering Approach to Strong AI (1707.09095v2)

Published 28 Jul 2017 in cs.AI and cs.SY

Abstract: 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.

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Authors (3)
  1. Tansu Alpcan (44 papers)
  2. Sarah M. Erfani (22 papers)
  3. Christopher Leckie (48 papers)
Citations (4)