That conception certainly makes the AGI problem really easy. I’ll solve it right now. Get a machine vision/olfaction etc system that recognizes structural complexity classes, does computational complexity efficiciency optimisation stuff, depends on the structural complexity class stuff for activity detection, once it has activity detection model game complexity and you’re done—it can know process the entire computable universe including people.
Further assumptions:
..”problem solving" is largely, perhaps entirely, a matter of appropriate selection. Take, for instance, any popular book of problems and puzzles. Almost every one can be reduced to the form: out of a certain set, indicate one element. … It is, in fact, difficult to think of a problem, either playful or serious, that does not ultimately require an appropriate selection as necessary and sufficient for its solution.
It is also clear that many of the tests used for measuring “intelligence” are scored essentially according to the candidate’s power of appropriate selection. … Thus it is not impossible that what is commonly referred to as “intellectual power” may be equivalent to “power of appropriate selection”. Indeed, if a talking Black Box were to show high power of appropriate selection in such matters — so that, when given difficult problems it persistently gave correct answers — we could hardly deny that it was showing the ‘behavioral' equivalent of “high intelligence”.""
That conception certainly makes the AGI problem really easy. I’ll solve it right now. Get a machine vision/olfaction etc system that recognizes structural complexity classes, does computational complexity efficiciency optimisation stuff, depends on the structural complexity class stuff for activity detection, once it has activity detection model game complexity and you’re done—it can know process the entire computable universe including people.
Further assumptions: