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posted by martyb on Thursday December 07, @07:40PM   Printer-friendly
from the wait-until-they-teach-it-how-to-write-software dept.

Google's 'superhuman' DeepMind AI claims chess crown

Google says its AlphaGo Zero artificial intelligence program has triumphed at chess against world-leading specialist software within hours of teaching itself the game from scratch. The firm's DeepMind division says that it played 100 games against Stockfish 8, and won or drew all of them.

The research has yet to be peer reviewed. But experts already suggest the achievement will strengthen the firm's position in a competitive sector. "From a scientific point of view, it's the latest in a series of dazzling results that DeepMind has produced," the University of Oxford's Prof Michael Wooldridge told the BBC. "The general trajectory in DeepMind seems to be to solve a problem and then demonstrate it can really ramp up performance, and that's very impressive."

Previously: Google's AI Declares Galactic War on Starcraft
AlphaGo Zero Makes AlphaGo Obsolete

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  • (Score: 1) by Gault.Drakkor on Thursday December 07, @10:55PM (5 children)

    by Gault.Drakkor (1079) on Thursday December 07, @10:55PM (#607028)

    How do we get corrupt individuals out of Government?
    What form of Gov is the best?

    Hmm probably a genetic simulation setup.
    1) determine goals for a good government. ( long term stability( same basic thing over time scale centuries), high standard of living for major majority, externality minimization, maximizing individual choice/freedom). YMMV.

    Start with people in a world with resources. Start from government template(s) or not.
    Should be able to create the classical monarchy, democracy as well as contract based, libertarian based etc. Then see how well they thrive.
    Hard part: How much do you have to model about people's interaction with each other and the world to be meaningful?

    I would like to have a open source simulation of this. But easier said then done for sure.

  • (Score: 2) by Bot on Thursday December 07, @11:21PM (3 children)

    by Bot (3902) Subscriber Badge on Thursday December 07, @11:21PM (#607038)

    > I would like to have a open source simulation of this.
    fascinating idea, but if you restrict yourself to politics the results won't work in the post industrial revolution world.
    A sim which let you choose various monetary policies (government issued, financial mafia issued, issued by some algorithm according to the amount of resources or whatever, with expiration, with limits, time as money, servitude as money, barter) would be more useful IMHO.

    • (Score: 1) by Gault.Drakkor on Friday December 08, @07:31AM (2 children)

      by Gault.Drakkor (1079) on Friday December 08, @07:31AM (#607120)

      I tried avoiding describing limitations.
      For a simulation of this scope to find meaningful answers it would have to have very few limits. It would have to be broad enough to handle various economic systems. Otherwise how can it identify a better government form? That is, the economy has to be simulated as well as the government to get a true answer.

      Your suggestion of hypothesis testing of monetary policy could easily be done in the simulation framework. Given that such a framework can be used to find various government variants.

      Probably a first step would be to use AlphaGo Zero to find the degrees of freedom, the useful to define elements for such a simulation that could find interesting governments (and economic systems).

      • (Score: 1) by MindEscapes on Friday December 08, @03:10PM (1 child)

        by MindEscapes (6751) on Friday December 08, @03:10PM (#607206) Homepage

        For this you start at the root. Create simulations with all the drivers of humans. Fear, greed, lust, pride, compassion, empathy, etc...basically the 7 deadly sins (rooted in all people) and all the positives we can quantify and define.

        Then you make a ton of them, and see how they self organize, which ones work, etc.

        It has to be nearly a complete earthly simulation and open ended, otherwise you'll just arrive at a previous, perhaps unrealized, bias and reality won't match the resultant model anyway.

        That would be quite a ton of work...and since we still can't determine how individual humans may react to particular stimuli...only percentage based statistics over'll like fail as well anyway.

        meta: Hrm...being self defeatist just kills drive before we start...guess I shouldn't do that.

        Need a break? may be for you!
        • (Score: 2) by Bot on Sunday December 10, @09:22AM

          by Bot (3902) Subscriber Badge on Sunday December 10, @09:22AM (#607942)

          What about, create the emptiest sim possible, then? Let trolls and people interested in its failing build resilience into it by trying to break it. Whatever in the sim is possible or not should be determined by data like opencyc as an estimate and approved by consensus- blockchain style. One could start a sim on an alternate ethereum chain or, if inefficient, use the chain for the rules and the random data generation only, and let the sim status being univocally determined by that.

          In other words, the blockchain contains the rules, the contracts and the random data, the client builds and updates the state from that and manages meta aspects like communication between sim players.

  • (Score: 2) by vux984 on Friday December 08, @01:50AM

    by vux984 (5045) on Friday December 08, @01:50AM (#607065)

    ( long term stability( same basic thing over time scale centuries), high standard of living for major majority, externality minimization, maximizing individual choice/freedom)

    Set human population = 0

    run simulation.

    long term stability (same basic thing over time scale centuries) = finding? no change in government match
    high standard of living for major majority = finding? resources / population = divide by zero; checking limit, limit approaches infinity; infinity is high: match
    externality minimization = finding? externalties at 0. Minimized: match.
    maximum individual choice/freedom = finding? limitations on individual = 0; maximum freedom achieved: match

    all goal met... activate killbots...