Google's DeepMind-based AlphaGo AI defeats 18-times Go world champion for the second time in a row.
AlphaGo AI Defeats Sedol Again, With 'Near Perfect Game' : Read more
AlphaGo AI Defeats Sedol Again, With 'Near Perfect Game' : Read more
AlphaGo is just a Go program, but I don't see why they couldn't make a Chess or Checkers program that uses the same DeepMind system.So, where do we go from here? AlphaGo gets so good because it keeps playing the same game with known constraints against opponents working within those same constraints. It can even play itself to get better.
AlphaGo can play Go, but could it play a different game? Chess? Checkers? Settlers of Catan?
Reminds me of the concept behind "Virtual Intelligence" in Mass Effect. Intelligences with pre-programmed limitations on knowledge, performance, etc... but which are free to develop within those parameters.AlphaGo is just a Go program, but I don't see why they couldn't make a Chess or Checkers program that uses the same DeepMind system.
They probably wouldn't bother is my guess as the number of permutation for chess and checkers are small enough brute force. The unique thing about Go is the unbelievably massive number of possible moves makes the brute force approach untenable.
ALphago is a generic AI, which happened to have been trained at playing go. It could just as well have been trained in medical diagnosing, daytrading or writing lyrics.So, where do we go from here? AlphaGo gets so good because it keeps playing the same game with known constraints against opponents working within those same constraints. It can even play itself to get better.
AlphaGo can play Go, but could it play a different game? Chess? Checkers? Settlers of Catan?
So, where do we go from here? AlphaGo gets so good because it keeps playing the same game with known constraints against opponents working within those same constraints. It can even play itself to get better.
AlphaGo can play Go, but could it play a different game? Chess? Checkers? Settlers of Catan?
ALphago is a generic AI, which happened to have been trained at playing go. It could just as well have been trained in medical diagnosing, daytrading or writing lyrics.So, where do we go from here? AlphaGo gets so good because it keeps playing the same game with known constraints against opponents working within those same constraints. It can even play itself to get better.
AlphaGo can play Go, but could it play a different game? Chess? Checkers? Settlers of Catan?