B. Goertzel, Shujing Ke, Ruiting Lian, J. O'Neill, Keyvan Sadeghi, Dingjie Wang, Oliver Watkins, Gino Yu
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The cogprime architecture for embodied Artificial General Intelligence
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).