The General Theory of General Intelligence: A Pragmatic Patternist Perspective
arXiv Preprint Archive March 28, 2021 Ben Goertzel
A multi-decade theoretical exploration of artificial and natural general intelligence is reviewed, covering patternist philosophy of mind, formal definitions of intelligence, and a proposed high-level architecture for AGI systems. The review details how cognitive processes like logical reasoning, program learning, clustering, and attention allocation can be implemented within this architecture, emphasizing a common knowledge representation (typed metagraph) to enable cognitive synergy between processes. Human-like cognitive architecture is presented as a manifestation of these general principles, with discussions of machine consciousness and machine ethics. Practical lessons for implementing advanced AGI in frameworks like OpenCog Hyperon are briefly considered.