Re: What can Canada do to nurture its chess talents?
I respectfully disagree with your first statement, to a certain extent. If you don't know your opponent, whether s/he is tactical or positional, whether s/he defends rather than attacks, then you are playing the board. Some players might even take this idea to an extreme: even if they DO know their opponent, they will still play the board, computer-like, trying to find at all times simply the strongest move. But in any event, I would think that playing the board occurs far more than playing the opponent. So if you play a move that is meant to induce a mistake from your opponent, because you know that your opponent tends to such a mistake, then yes you are right, this won't win any brilliancy or strategy prize. A judge looking over your game, not even knowing the participants, will obviously not pick up on such a psychological ploy. Let me ask you, Kevin, how often do you do this in tournament play? In match play, I could see this happening more often, but in tournament play, not nearly so often.
If every player is most often playing the board, looking for the strongest move in a given position, then every player has equal possibility of finding a brilliancy or of formulating an effective long-term strategy. If a Master is playing a Class B player, the Master may find such a brilliancy or strategy very early on in the game, because the Class B player is likely to present the Master with the opportunity for it very early on (by playing a move that induces a specific weakness or even a long-term liability). I would tend to think that mis-matches are MORE likely to produce brilliancy prizes or strategy prizes.
Garry Kasparov: "With the supremacy of the chess machines now apparent and the contest of "Man vs. Machine" a thing of the past, perhaps it is time to return to the goals that made computer chess so attractive to many of the finest minds of the twentieth century. Playing better chess was a problem they wanted to solve, yes, and it has been solved. But there were other goals as well: to develop a program that played chess by thinking like a human, perhaps even by learning the game as a human does. Surely this would be a far more fruitful avenue of investigation than creating, as we are doing, ever-faster algorithms to run on ever-faster hardware."
It's not how fast chess playing technology will get, it's how effectively will it learn like we learn. Neural network chess engines seem to me to be the wave of the future in this regard, and an area I am actively working on in my spare time, among other similar projects.
Garry Kasparov again: "The availability of millions of games at one's fingertips in a database is also making the game's best players younger and younger. Absorbing the thousands of essential patterns and opening moves used to take many years, a process indicative of Malcolm Gladwell's "10,000 hours to become an expert" theory as expounded in his recent book "Outliers". ... Today's teens, and increasingly pre-teens, can accelerate this process by plugging into a digitized archive of chess information and making full use of the superiority of the young mind to retain it all."
Kasparov in his day was the undisputed King of opening theory. He knows of what he speaks. A lot of his wins over the years occurred in the opening phase because of his superior knowledge / memorization. Whatever tactics came later were more often than not born out of some advantage he won in the opening.
Actually, he suggested 1 year per opening, an interesting idea, but not one I'm in favor of. Why make "research" and/or access to it's products the criterion for success or failure in chess? Why not do the work in your head over the board, from as early on as possible? Chess isn't meant to be one big giant database. The more we make it so, the more we take away from the game.
Originally posted by Kevin Pacey
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If every player is most often playing the board, looking for the strongest move in a given position, then every player has equal possibility of finding a brilliancy or of formulating an effective long-term strategy. If a Master is playing a Class B player, the Master may find such a brilliancy or strategy very early on in the game, because the Class B player is likely to present the Master with the opportunity for it very early on (by playing a move that induces a specific weakness or even a long-term liability). I would tend to think that mis-matches are MORE likely to produce brilliancy prizes or strategy prizes.
Originally posted by Kevin Pacey
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It's not how fast chess playing technology will get, it's how effectively will it learn like we learn. Neural network chess engines seem to me to be the wave of the future in this regard, and an area I am actively working on in my spare time, among other similar projects.
Originally posted by Kevin Pacey
View Post
Kasparov in his day was the undisputed King of opening theory. He knows of what he speaks. A lot of his wins over the years occurred in the opening phase because of his superior knowledge / memorization. Whatever tactics came later were more often than not born out of some advantage he won in the opening.
Originally posted by Kevin Pacey
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