Poker playing robots

Why design poker playing robots

Perhaps you might have wondered to yourself about if it was possible to master online poker websites. Now some academics and scientists have gone even further than that and hold contests to find out who can build the best poker playing robots. Winning and playing poker is probably not the first or main function that people would design robots to perform.

poker robot

Now it would seem at first glance a strange thing to enter robots into a competition to find the ones that are better at playing a card game when these could be put to other uses such as industrial research or medical advances. Yet robots and indeed computers need to have a great deal of information at their disposal or inputted to perform at their best. People on the other hand have to make decisions on very little or unlinked different pieces of information. For instance, when to stick or twist in a game of poker. We have to decide on a hunch or to tackle gamble on what we know instead of waiting longer to get the complete picture.

Robots Could Play Poker Better than You

These poker-playing robots can bluff better than humans

We learn from our mistakes at a much slower rate than any computer or robot can. Yet humans are less averse to taking risks than machines, which is precisely why researchers decided to program robots to play card games. Card game players make decisions on what they assume will happen next, or may be more accurately what they would prefer to happen next. Gamers learns as much from their mistakes as from the gambles that they got right. A robot on the other can learn at a much faster rate than people can. Robots can work faster when solving logic problems or math based equations. Yet they are not good at word based quiz shows compared with people.

So universities have built robots, which can learn quickly and will sooner rather than later manage to beat the dealer. Yet such robots would lose a game of hangman to you because they cannot cope with working things out with virtually no information.