[ExI] AI wins at Poker now!
William Flynn Wallace
foozler83 at gmail.com
Mon Jan 23 19:20:42 UTC 2017
although we can write virtual realities, good ones, it still helps to see
real realities for comparison purposes. spike
Here's what gets me: millions of videos and film depicting just about
everything. Why not take from those shots the code for what you want;
that is, if you want some virtual reality robot to walk like a person,
then why not get a video of a person walking and take the code from there,
eliminating superfluous actions? I have seen a person hooked up to all
sorts of sensors that record his movements which I suppose is then turned
into code. I don't see why this is necessary.
I reckon the youtube thing just happens too fast for me. But then I am not
into wrecks (or racing, though I do watch horses three times a year). I
wasn't one of the ones cheering during the Blues Brothers at scores of cop
cars wrecking etc.
On Mon, Jan 23, 2017 at 12:55 PM, BillK <pharos at gmail.com> wrote:
> On 22 January 2017 at 16:24, spike wrote:
> > This so reminds me of the advances in the chess world we watched in the
> 1980s and 90s.
> > Their ratings just kept steadily climbing much to our astonishment and
> delight, or in some
> > cases dismay. People were collectively getting better in those years,
> as we found a worthy
> > opponent was always available and willing. But it wrecked
> correspondence chess forever,
> > as that activity became pointless. One could never be sure an opponent
> wasn't using a
> > computer.
> > I can easily imagine that scenario playing out in one sport after
> another, then in the trades
> > and crafts.
> Why Poker Is a Big Deal for Artificial Intelligence
> Playing poker involves dealing with imperfect information, which makes
> the game very complex, and more like many real-world situations.
> by Will Knight January 23, 2017
> A win for Libratus would be a huge achievement in artificial
> intelligence. Poker requires reasoning and intelligence that has
> proven difficult for machines to imitate. It is fundamentally
> different from checkers, chess, or Go, because an opponent’s hand
> remains hidden from view during play. In games of “imperfect
> information,” it is enormously complicated to figure out the ideal
> strategy given every possible approach your opponent may be taking.
> “Whether a move is good or not depends on things you cannot observe,”
> says Vincent Conitzer, a professor at Duke University who teaches AI
> and game theory. “This also results in a need to be unpredictable. If
> you never bluff, you are not a good player. If you always bluff, you
> are not a good player. Game theory tells you how to randomize your
> play in a way that is, in a sense, optimal.”
> So when the future AGI gives you advice on how to run your life,
> remember it might be bluffing! :}
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