ABSTRACT

Artificial general intelligence (AGI) refers to machines capable of experiencing consciousness, discovery, creativity, self-awareness, and evolution, collaborative intelligence, and creation of other machines like themselves. Simply put, AGI represents another race of human beings. Funding agencies became skeptical of AGI and put researchers under increasing pressure to produce narrow artificial intelligence (AI). In the 1990s and the early 21st century, mainstream AI had achieved far greater commercial success and academic respectability by focusing on specific application problems where it could produce verifiable results and commercial applications, such as convolution neural networks in computer vision and voice-recognition. These applied AI systems are used extensively throughout the technology industry, and research in this regard is very heavily funded in both academia and industry. An effective way of studying AGI has to start with zero data methodology before adopting a big data approach.