By Ben Goertzel, Visit Amazon's Cassio Pennachin Page, search results, Learn about Author Central, Cassio Pennachin, , Nil Geisweiller
The paintings outlines a singular conceptual and theoretical framework for realizing man made basic Intelligence and in accordance with this framework outlines a pragmatic roadmap for the improvement of AGI with power on the human point and finally beyond.
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Extra info for Engineering General Intelligence, Part 1: A Path to Advanced AGI via Embodied Learning and Cognitive Synergy
Not all of a CogPrime system’s concepts correlate to words, but some do ECAN activity. Without the real-time combination of explicit and implicit knowledge in the system’s knowledge graph, the synergetic interaction of different cognitive processes would not work so smoothly, and the emergence of effective high-level hierarchical, heterarchical and self structures would be less likely. 6 Analysis and Synthesis Processes in CogPrime We now return to CogPrime’s fundamental cognitive dynamics, using examples from the “virtual dog” application to motivate the discussion.
Example: knowledge of the internal similarity between the procedure of asking for food and the procedure of asking for toys, allows the virtual dog to reason that if asking Bob for toys has been successful, maybe asking Bob for food will be successful too. • Inference, acting on declarative or sensory knowledge, can be useful for estimating the probability of the implication C ∧ P → G, in cases where the probability of C1 ∧ P → G is known for some C1 related to C. – Example: if Bob and Jim have a lot of features in common, and Bob often responds positively when asked for food, then maybe Jim will too.
But still this approach is very complex and there is a lot of need for creative invention. This is the approach we consider most “serious” at present (at least until neuroscience advances further). And, as will be discussed in depth in these pages, this is the approach we’ve chosen: CogPrime is an integrative AGI architecture. 8 Can Digital Computers Really Be Intelligent? All the AGI approaches we’ve just mentioned assume that it’s possible to make AGI on digital computers. While we suspect this is correct, we must note that it isn’t proven.
Engineering General Intelligence, Part 1: A Path to Advanced AGI via Embodied Learning and Cognitive Synergy by Ben Goertzel, Visit Amazon's Cassio Pennachin Page, search results, Learn about Author Central, Cassio Pennachin, , Nil Geisweiller
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