5 ms·

Heh yeah I wrote about this a while back - http://techcrunch.com/2013/01/27/facebooks-categorial-imperative/ http://techcrunch.com/2013/01/27/facebooks-categor

• msie 10y ago
  On yesterday's episode of POI a character said that the Machine (an AI) has to contain a simulation of a person in order to understand what that person will do.
  • visarga 10y ago
    I think AlphaGo had a pretty good simulation of its human opponent, even though strategy and intuition are hard.
    • cyphar 10y ago
      AlphaGo didn't simulate its opponent, it used the entire recorded history of Go games to extrapolate what is the best move to play in a particular situation (falling back to Monte-Carlo simulations of possible games after reducing the problem).
      • astrange 10y ago
        Game AI uses minmax decisions, so it does simulate the opponent to pick _their_ best move, then it picks the move that removes their best options. That's why it's so unsportsmanlike when losing and why it doesn't go for points when winning. It doesn't have a specific profile of the opponent, though, instead it thinks they're another AlphaGo. That's an area they could work on.
        • zardeh 10y ago
          AG doesn't actually use minimax, it uses montecarlo tree search, which doesn't even try to simulate a good opponent, it just plays lots of games very fast.
          • ylem 10y ago
            Actually, the cool thing about AG is that it doesn't just use MCTS, but that it adds in deep learning and reinforcement learning :-) I was surprised by how readable their paper was! Here's a link: http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html http://www.nature.com/nature/journal/v529/n7587/full/nature1... I think you search on the title, you can find probably find a non paywalled version.
            • zardeh 10y ago
              Yup! Their additions to the algorithm are actually super simple, it was really surprising to me, its just very computationally intensive on the front end.
          • zodiac 10y ago
            AG does use minimax in the same sense that for example stockfish does (bounded depth and with pruning)
            • zardeh 10y ago
              But that isn't minimax, its pruning by some evaluation function, where in this case the evaluation function is "blackbox Deep neural net trained on many games"
              • zodiac 10y ago
                In that case, stockfish doesn't use minimax either right, because it does pruning as well
                • 10y ago
  • gambler 10y ago
    At highest level this is true. Any prediction must be based on some model, and that model can be considered a simulation of the subject.
  • SanderMak 10y ago
    That idea is beautifully explored in this episode of Black Mirror: https://en.wikipedia.org/wiki/White_Christmas_%28Black_Mirror%29 https://en.wikipedia.org/wiki/White_Christmas_%28Black_Mirro...
    • RangerScience 10y ago
      Fuuuuuuuuck that amazing show. An ounce of compassion in any of those situations and the outcome would be rather completely different... Edit: Also, goddamn dickheads wasting human upload/duplication....