3 ms·
AlphaGo's algorithms will generalize easily to other perfect information games, including ones that include randomness like Backgammon. Games with imperfect inf
by jtolmar 11y ago
AlphaGo's algorithms will generalize easily to other perfect information games, including ones that include randomness like Backgammon. Games with imperfect information will take some more advances, but AlphaGo just opened up a lot of interesting potential paths, so there's a decent chance someone pursuing one of those will find something quickly.
The sheer amount of computing power that AlphaGo needs will be a problem for games as complicated as Go for people who aren't Google. There will probably be more activity in simpler games with interesting properties.
Non-game applications will require a fully formalized set of rules. The fact that formalizing what you want is hard is the reason we need programmers in the first place, so nothing fundamentally different there.
- return0 11y agoyes the problem is that games are the only formalizable apps. We need an AI to formalize the rest.
- SixSigma 11y agoEven knowing what rules one is using isn't always clear. I did some work for a Forex trader. He had devised an algorithm for trading and used it daily for modest gains. He engaged me to automate it for him via the vWorker freelance website [1]. I got the engine going getting the realtime price data etc. But when it came to his system it didn't work. In practice he didn't always act upon the signals he thought he did. We ended up in payment dispute because he insisted that if I had done the work right then the bot would be making money. By this time, I had learned the error of his thinking. We arbitrated on 50% payment - I wasn't too pleased with that but I had learned about trading. [1] https://en.wikipedia.org/wiki/VWorker https://en.wikipedia.org/wiki/VWorker