How to win against the chess program

How to win against the chess program

Chess - one of the most intellectual games which are thought up by the person. Winning or losing in chess, it is possible to train every day the mind. Four decades ago the first chess program for the computer was created. It is interesting to win against the chess program especially, the computer practically doesn't make mistakes (not without reason the strongest cars outplay world champions).

Instruction

1. If you want to outplay the chess program, first of all it is necessary to estimate the level of the game. The opportunity to select to itself the subprogramme suitable on force is provided in the majority of modern chess algorithms. If you only begin to get acquainted with chess, it makes sense to choose the Beginner or Beginner level. Otherwise, it is better to choose "Average" or "Professional" level.

2. The important circumstance for the prize of party at the computer is the choice of the correct mode of time (in the majority of programs it is possible to play both "fast", and classical chess). You remember, regardless of how the car quickly goes, the quality of its game doesn't worsen. As the known Latin expression says: "The person can be mistaken". Therefore choose the mode with very large number of time for one course.

3. It is necessary to consider the fact that chess programs perfectly play the beginnings of party. Successfully to resist to them in it, it is necessary to study the theory of debuts (beginnings) of the chess game. With it you will be helped by the book by the repeated world champion Garry Kasparov "Debuts of the world champion".

4. Solve the set of chess problems. Their decision will allow to find to you the way out in difficult situations and to carry out the combinations leading to achievement of overweight. One of the best websites on this subject of http://chessfield.ru. On it you will find both simple trekhkhodovka, and sophisticated multiple-pass etudes which decision troubles even to grand masters.

Author: «MirrorInfo» Dream Team


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