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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."

3 of 241 comments (clear)

  1. language? by rd4tech · · Score: 3, Insightful

    There is a difference in coding between:
    a. You go and learn THIS game
    b. Learn THAT game and tell me the rules

    From the article it can be seen that they are still strugling with 'b'. Still, its a good advance.

    Just wondering, can it, learn a human language?

  2. Re:Talk about simple by TexVex · · Score: 3, Insightful

    RTFA. The computer infers the rules by watching people play.

    I do think that according to Game Theory, the perfect strategy is perfect randomness. The game is interesting when people play it because people have a huge amount of trouble actually being random.

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  3. 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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