Game Theory and Artificial intelligence, a Powerful Duo
Link: https://medium.com/@jrodthoughts/game-theory-and-artificial-intelligence-ee8a6b6eff54
Games have been one of the main areas of focus in artificial intelligence research. They often have simple rules that are easy to understand and train for, it is clear when one party wins, and frankly, it is fun watching a robot beat a human at chess. This trend of AI research being directed towards games is not accident at all researchers know that the underlying principles of many tasks lie in understanding and mastering game theory. Jesus Rodriguez writes about how game theory is directly tied to AI research. The end goals and even the processes of both seem to be the same, both AI and game theory seek to find out how participants will react in different situations, figuring out the best response to situations, optimizing auction prices, finding market clearing prices.
Computers are very good at doing repeated calculations, this makes them particularly good at Game theory games in which there are more than one moves such as two competing companies, countries planning their missle defense strategies, or games like chess in which moves are made one at a time, but there is still a long term outcome. Even the basic structure of artificial intelligence resembles a hub-authority graph, with each layer of successive nodes giving their weights to the next layer, which in turn lead to the best outcome. Just another reason that John Nash is one of the most influential mathmaticians ever.