Twenty years ago, the "dark blue" computer system defeated chess champion Garry Kasparov in a big eye. Today, Google has developed an artificial intelligence system that defeats the world's greatest Go. Player. The rapid development of artificial intelligence has taken a more important step on the road to defeating the world's greatest super players.
According to Quartz, an artificial intelligence game developed by MIT student Vlad Firoiu defeated some of the best players in the world. Although this artificial intelligence game did not compete with the best players, one of the losers admitted, "I am not sure if anyone can beat it."
While this achievement is very exciting, artificial intelligence still needs some improvement until it can beat humans in every game. Artificial intelligence is learning some new ways to win games, such as remembering more game actions than humans. They are learning how to think strategically and how to work together. This is a good performance of artificial intelligence and human competition, they will certainly go further.
New environment and new development
"Nintendo Stars Big Fight" is a Nintendo game developed in 2001. In the game, famous Nintendo characters such as Mario and Pikachu can fight each other. Although the game is very old and has two sequel versions, it is still favored by a large number of players. The "big chaos players" are constantly developing new combat techniques to keep the game hot.
Because Smash is a fighting game, artificial intelligence faces different challenges than chess. In chess, artificial intelligence can simply beat players by memorizing millions of actions. But in the upcoming game Smash, artificial intelligence can't predict the future because it can't reliably predict what fighting actions human players will do. In order to defeat human players, artificial intelligence will have to "learn" how to play Smash.
This is what Firoiu and his colleagues teach artificial intelligence to do. They developed a neural network that accurately determines the opponent's position and makes combat commands. The neural network trains the AI ​​in melee and lets the AI ​​attack itself. By playing against himself, AI learned how to beat a good Smash player in just a few weeks.
In addition to Smash, last month, artificial intelligence also used neural networks to beat the world's best poker players. Like Smash, poker can't just win the game by calculation. It needs to understand the player's playing habits, especially the ability to have a bluff. And like Smash AI, before entering the tournament, poker players will play games with themselves instead of fighting against their opponents. In this way, poker players have won trillions of games. These triumphs in poker and video games represent the rapid development of artificial intelligence.
But we can't be complacent. Despite these victories, the development of artificial intelligence still has a long way to go. Because artificial intelligence responds much faster than humans, Smash artificial intelligence is more aggressive than human players and can avoid attacks in time. However, artificial intelligence does not have the ability to deal with the projectiles in the game, so it can't fight against the remote characters; when the opponent hides in the corner, it will be overwhelmed and even commit suicide.
Therefore, some people will question whether Smash AI is really smarter than humans, or whether it only uses superior response speed to win. However, it took only a few weeks for artificial intelligence to eclipse the human chess players who have been practicing for several years. Recent victories in artificial intelligence in areas such as Smash and Poker have shown that artificial intelligence can learn different types of game actions as game parameters change. The two games further emphasize one point: different artificial intelligence systems can learn to cooperate, and can also fight each other according to the different nature of the game.
In a sense, any program we write artificial intelligence can be understood as a game. Whether it's defeating players in the game or analyzing tactics, artificial intelligence is constrained by specific parameters, whether through programmer design or through neural network learning, it can continuously achieve self-improvement. Throughout human history, games are often seen as a symbol of high intelligence, such as the fact that many great leaders like chess. Because artificial intelligence can defeat humans in a variety of games, it shows that artificial intelligence can get different types of intelligence through programmer programming. Neural networks and machine learning have the potential to revolutionize artificial intelligence, but still need to make considerable progress in defeating humans in every game.
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