Epstein Secrets

t we take for a Universe really nothing more complex than putting a DVD in the slot and hitting play? One last piece of trivia links Hofstadter with Penrose: Roger Penrose and his father invented the Penrose Steps, inspiring the never- ending staircase in the Escher prints featured in Hofstadter’s book. F

matter and dark energy being some recent examples. If we stopped discovering new things, Occam's Razor would be a good way to simplify our thoughts. Occam’s Razor is a useful intellectual tool to prevent us over complicating explanations, but there will often be explanations that are correct, but for wh

ction of the cost and far more reliable. Scientists put great store in black box equivalence because of a principle called Occam’s Razor. William of Occam was an English Franciscan friar living in the fourteenth century. He proposed the idea of minimal explanation. It states that, ‘among competing hypot

ume that it's possible to make AGI on digital computers. While we suspect this is correct, we must note that it isn't proven. It might be that - as Penrose 11'mM', Hamerofflam87] and others have argued - we need quantum computers or quantum gravity computers to make AGI. However, there is no evidence o

ne effective approach to evolu- tionary program learning. MOSES is one good realization of this approach. e. Multistart hill-climbing, with a strong Occam prior, is a good way to handle relatively straightforward program learning problems. f. Activation spreading and Hebbian learning comprise a reason

sume that it’s possible to make AGI on digital computers. While we suspect this is correct, we must note that it isn’t proven. It might be that — as Penrose [Pen96], Hameroff [Mam87] and others have argued — we need quantum computers or quantum gravity computers to make AGI. However, there is no evidence

ne effective approach to evolu- tionary program learning. MOSES is one good realization of this approach. e. Multistart hill-climbing, with a strong Occam prior, is a good way to handle relatively straightforward program learning problems. f. Activation spreading and Hebbian learning comprise a reasona