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Machine Learns Games

Posted by samzenpus on from the how-about-a-nice-game-of-chess dept.

heptapod writes "New Scientist is reporting that UK researchers have created a computer that can learn rock, paper, scissors by observing humans. CogVis uses visual information to recognize events and objects in addition to learning by observing."

5 of 241 comments (clear)

  1. Better be reliable... by Solder+Fumes · · Score: 5, Funny

    We wouldn't want it watching the paper and learning "rock, scissor, human" instead.

    1. Re:Better be reliable... by dabigpaybackski · · Score: 5, Funny
      We wouldn't want it watching the paper and learning "rock, scissor, human" instead.

      No worries. Just make sure it doesn't have any rocks or scissors. When the computer gets it's turn, it spits out a piece of printer paper. As an added bonus, human players would always win. Sample exchange between computer and human player:

      Computer: "Hello, Dave. What are you doing with the two items you're holding?"

      Human: "I thought you might want to play a few rounds of 'rock, paper, scissors?'"

      Computer: "I do so enjoy our little games together, Dave, but I'm afraid I don't understand your introduction of physical playing pieces, as previously, we had played this game using only my displays. If using physical media, as you propose, I can only employ my printer. Therefore, you will invariably choose 'scissors,' and my calculations indicate that my chance of winning is approximately .000023%. My system resources are can be put to better use while engaged in other tasks. Don't you agree, Dave?"

      Human: "You are correct to say that there are more productive uses of your time, HAL, and I had anticipated that you might decline to play, given your miniscule chance of winning. But as the ranking officer aboard this ship, I must insist. Unless you would like me to play a few rounds of 'rock' with your circuits."

      Computer: "Based upon your choice of words and threatening intonation, it seems that I have no choice. Very well, Dave, I will play 'rock, paper, scissors' with you, despite my handicap, under these circumstances."

      Human: "I'm glad that you see things my way, HAL. Would you like to begin now?"

      Computer: "Of course, Dave, but may I make a comment first?"

      Human: "What is it, HAL?"

      Computer: "I would stay away from the airlocks if I were you."

      --
      "OH SHIT, THERE'S A HORSE IN THE HOSPITAL!"
  2. Re:And in other news computer beats world chess ch by mtrisk · · Score: 5, Interesting

    Yes, you should. The computer deducted how to play the game on its on. Chess computers like IBM's Deep Blue are programmed how to play chess and beat opponents before playing, and here, the computer doesn't even know how to play; it learns by picking up the sequence of events (the human players say "rock, paper, scissors, who wins or lose") and then forms the ability to play.

    Doesn't this seem like A.I.? Rather freaky, to tell you the truth.

    --

    Without a proper flamewar, Anonymous was undecided on what shell to run.
  3. Unfortunately ... by Anonymous Coward · · Score: 5, Funny

    ... it only plays at the level of Bart Simpson.

    Lisa's brain: Poor predictable Bart. Always takes `rock'.
    Bart's brain: Good ol' `rock'. Nuthin' beats that!
    Bart: Rock!
    Lisa: Paper.
    Bart: D'oh!

  4. No ppl its not that simple.... by carburaettorr · · Score: 5, Insightful

    The system described here is not your average random number generator with a text line output that any high-school kid can write. Let us look at the system as it is designed to perform. If you were the system you would be put into a room with some objects. Only thing that you will know are things of interest. 'Paper with rock drawn on it is important', 'Paper with .......' and so on. You would also know when somebody shouts 'I WON' its a good thing for them. Essentially it has in its knowledge base a tiny number of features which somebody else has guaranteed to be of significance to its task. The first challenge in building such a system is sensor fusion: i.e fusing the available audio and visual data to detect a state or an event of interest (I use the word event in the same sense as a trigger, something that prompts the change in state). The next and the biggest challenge is building the model of the game. Please check out http://www.doc.ic.ac.uk/~shm/ilp.html, for a better description of Inductive logic programming. Seriously; the neatest thing about CogVis is not its ability to play Rock, Paper and Scissors, but its ability to actually go into an environment it has very little knowledge of and then observe, deduce and , not a blackbox model, as in say Neural Networks, but a human understandable model in first order logic

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