SingularityNET: General Theory of General Intelligence: Quantifying General Intelligence (4/10)

This episode has been reuploaded for improved quality. This is Episode 4 in a series of videos discussing the General Theory of General Intelligence as overviewed in the paper
Goertzel, Ben. “The General Theory of General Intelligence: A Pragmatic Patternist Perspective.”
This episode reviews some issues and formal approaches relating to quantifying the general concept of general intelligence. I.e., how and to what extent can we give a math formula for “what is general intelligence” in the general sense?
Some additional references relevant to this episode are:
Legg, Shane, and Marcus Hutter. “A collection of definitions of intelligence.” Frontiers in Artificial Intelligence and applications 157 (2007): 17.
Legg, Shane, and Marcus Hutter. “Universal intelligence: A definition of machine intelligence.” Minds and machines 17, no. 4 (2007): 391-444.
Goertzel, Ben. “Toward a formal characterization of real-world general intelligence.” In 3d Conference on Artificial General Intelligence (AGI-2010), pp. 74-79. Atlantis Press, 2010.
Goertzel, Ben. The structure of intelligence: A new mathematical model of mind. Springer Science & Business Media, 2013 (1991)
Weinbaum, David Weaver, and Viktoras Veitas. “Open-ended intelligence.” In International Conference on Artificial General Intelligence, pp. 43-52. Springer, Cham, 2016.
Lem, Stanislaw. Solaris. Aleph, 2017.
Also: A number of folks have asked me about practical tests to measure the degree to which a system has achieved human-level AGI. I didn’t say much about this in the General Theory of General Intelligence paper but it’s discussed (among other topics) in the “Mapping the Landscape of AGI” paper that resulted form the 2012 U. Tennessee AGI Roadmap Workshop:
Adams, Sam, Itamar Arel, Joscha Bach, Robert Coop, Rod Furlan, Ben Goertzel, J. Storrs Hall et al. “Mapping the landscape of human-level artificial general intelligence.” AI magazine 33, no. 1 (2012): 25-42.


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