> > > This is the thing that I think is relevent to Robin Hanson's original > question. I think we can build 1+2 is short order, and maybe 3 in a > while longer. But the result of 1+2+3 will almost surely be an > idiot-savant: knows everything about horses, and can talk about them > at length, but, like a pedantic lecturer, the droning will put you > asleep. So is there more to AGI, and exactly how do way start laying > hands on that? > > --linas
I think that evolutionary-learning-type methods play a big role in creativity. I elaborated on this quite a bit toward the end of my 1997 book "From Complexity to Creativity." Put simply, inference is ultimately a "local search method" -- inference rules, even heuristic and speculative ones, always lead you step by step from what you know into the unknown. This makes you, as you say, like a pedantic lecturer. OTOH, evolutionary algorithms can take big creative leaps. This is one reason why the MOSES evolutionary algorithm plays a big role in the Novamente design (the other, related reason being that evolutionary learning is better than logical inference for many kinds of procedure learning). Integrating evolution with logic is key to intelligence. The brain does it, I believe, via -- implementing logic via Hebbian learning (neuron-level Hebb stuff leading to PLN-like logic stuff on the neural-assembly level) -- implementing evolution via Edelman-style Neural Darwinist neural map evolution (which ultimately bottoms out in Hebbian learning too) Novamente seeks to enable this integration via grounding both inference and evolutionary learning in probability theory. -- Ben G -- Ben G ----- This list is sponsored by AGIRI: http://www.agiri.org/email To unsubscribe or change your options, please go to: http://v2.listbox.com/member/?member_id=8660244&id_secret=64667888-a48aa3
