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Intelligence is the degree of efficiency with which a learning system turns experience (data) into generalizable programs. I = G / E In AI, "system" should be understood as including the human engineers. Most of the "data -> generalization" conversion happens during model design
Information theory provides a nice way to quantify this, but it's not the only possible avenue
A proper mathematical theory of abstraction should provide formal ways to quantify generalization.
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