Engineering general intelligence, part 1: a path to advanced AGI via embodied learning and cognitive synergy

摘要

The field of artificial intelligence (AI) emerged in the 1950s with ambitious goals of constructing a thinking machine that would rival the human brain. Very quickly it was clear that the research and the technology of the era were not at a level congruent with the goals of this endeavor. Research and results started appearing in what Kurzweil terms "narrow AI," where artificial agents exhibit something of an intelligent behavior in a limited subdomain of human expertise. We witnessed several brilliant expert systems that AI advocates bragged about, but they were rooted heavily in Aristotelian mathematics and logic. By the 1980s, many proclaimed AI dead. It was reincarnated in a variety of post-AI disciplines, such as cognitive science, agency, multiagent systems, and developmental robotics, which continued to attack the challenges of mimicking the human brain/mind based on the new learning and technologies of the time.