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Computers versus People

It’s been a long while since I wrote anything here, going to see if I can get back on the horse.

Nate Silver on the parts of a chess match computers and humans excel at:

Both computer and human players need to break a chess game down into intermediate goals: for instance, capturing an opponent’s pawn or putting their king into check. In the middle of the match, once the pieces are locked in combat and threaten one another, there are many such strategic objectives available. It is a matter of devising tactics to accomplish them, and forecasting which might have the most beneficial effects on the remainder of the game. The goals of the opening moves, however, are more abstract. Computers struggle with abstract and open-ended problems, whereas humans understand heuristics like “control the center of the board” and “keep your pawns organized” and can devise any number of creative ways to achieve them.

November 19, 2014 // This post is about: , ,


  • The Knowledge, Cabbies, and Nostalgia | Noah Brier dot Com says:

    […] Of course, if I were to describe Google Maps that way you wouldn’t be particularly surprised. Technology is great at holding a database of locations. In fact, that’s probably just about the most simple thing Google Maps does, after all it’s just a lat-long point and a name (ideally connected to a website for more information like open and close times, menu, etc.). The challenge for Google (and the cab-drivers) is in the routes: Getting from point a to point b isn’t all that hard a problem for either, but getting there in the “best way” is nearly impossible. That, ultimately, is what the London taxi drivers study and what the Google engineers constantly refine (buying Waze is quite clearly a push in that direction as “best” could easily be defined as least traffic). It’s also one of the places where you could argue humans can still outperform machines (for a lot of the same reasons people are still better than machines at certain parts of chess). […]

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