CogPrime, a comprehensive architecture for embodied Artificial General Intelligence, is reviewed, covering the core architecture and algorithms, the underlying conceptual motivations, and the emergent structures, dynamics and functionalities expected to arise in a completely implemented CogPrime system once it has undergone appropriate experience and education. A qualitative argument is sketched, in favor of the assertion that a completed CogPrime system, given a modest amount of experience in an embodiment enabling it to experience a reasonably rich human-like world, will give rise to human-level general intelligence (with significant difference from humans, and with potential for progress beyond this level).
['Ben Goertzel', 'Shujing Ke', 'Ruiting Lian', "Jade O'Neill", 'Keyvan Sadeghi', 'Dingjie Wang', 'Oliver Watkins', 'Gino Yu']
The cogprime architecture for embodied Artificial General Intelligence