RE: [computer-go] Poll: how long until computers are as strong as pros?

Self play results are much better than play against another opponent (since the faster version sees everything the slower one does, plus more). At stronger levels, the win rate for a stone difference is higher. Pure computer power increase will take much longer than your estimate. On the other

RE: [computer-go] Poll: how long until computers are as strong as pros?

I think this estimate is a reasonable educated guess. The uncertainties are quite big. I would say your estimate has a total margin of error of at least 50% (it will probably take between 15 years and 50 years) but I don't think it's possible to estimate much more accurate at this stage.

Re: [computer-go] Poll: how long until computers are as strong as pros?

From: Bob Hearn robert.a.he...@dartmouth.edu How long until a computer beats a pro -- any pro -- in an even game? How long until a computer can routinely beat the best pros? We've recently seen a program with a 7 stone handicap beat a pro, so we're a little bit closer than when you made

[computer-go] Presentation of my personnal project : evolution of an artificial go player through random mutation and natural selection

Hello, I would like to share my project with you : I have developped a program trying to mimic evolution through the competition of artificial go players. The players are made of totally mutable artificial neural networks, and the compete against each other in a never ending tournament, randomly

Re: [computer-go] Presentation of my personnal project : evolution of an artificial go player through random mutation and natural selection

How do you perform the neuro-evolution? What sort of genetic operators do you have? Do you have any sort of crossover? How do you represent the board and moves to the networks? - George On Fri, Feb 13, 2009 at 2:42 PM, Ernest Galbrun ernest.galb...@gmail.com wrote: Hello, I would like to

Re: [computer-go] Presentation of my personnal project : evolution of an artificial go player through random mutation and natural selection

How do you perform the neuro-evolution? What sort of genetic operators do you have? Do you have any sort of crossover? How do you represent the board and moves to the networks? - George - The evolution consists in the random mutation of each neurons : weight, type of neurone, threshold,

Re: [computer-go] Presentation of my personnal project : evolution of an artificial go player through random mutation and natural selection

Just curious, did you ever read 'On Intelligence' by Jeff Hawkins? After reading that I got rather sold on the idea that if you're ever going to attempt making a program with neural nets that behaves intelligently then it needs to have a lot of feed-back links. Not just the standard

Re: [computer-go] Presentation of my personnal project : evolution of an artificial go player through random mutation and natural selection

On Fri, Feb 13, 2009 at 22:42, Mark Boon tesujisoftw...@gmail.com wrote: Just curious, did you ever read 'On Intelligence' by Jeff Hawkins? After reading that I got rather sold on the idea that if you're ever going to attempt making a program with neural nets that behaves intelligently then it