Weird Chess Algorithms: Elo World

Weird Chess Algorithms: Elo World

Table of Contents:

I. Introduction II. The Problem with Playing Chess Online III. Blindfold Chess for Computers IV. The Random Move Strategy V. Strategies Based on Piece Placement VI. Strategies Based on Piece Movement VII. Traditional Chess Engines VIII. The Color Blind and Piece Blind Chess Problem IX. The Blind Chess Player X. Interpolation and the Scoville Scale XI. Conclusion

Article:

I. Introduction

Chess is a game that has been played for centuries, and it continues to be a popular pastime today. However, with the rise of online gaming, it has become increasingly difficult to find a low-stress game of bad chess. In this article, we will explore various lousy ways for computers to play chess, from the random move strategy to traditional chess engines. We will also discuss the problem of color blind and piece blind chess and introduce a blind chess player that uses machine learning to predict the board.

II. The Problem with Playing Chess Online

Playing chess online can be a frustrating experience. When playing against strangers, it can feel like talking on the telephone to strangers, except that in addition to not being able to see them, You have to compete in intellectual combat with them. Furthermore, it can be difficult to find a low-stress game of bad chess, as most players are either good at chess or refuse to believe that you are bad at chess.

III. Blindfold Chess for Computers

One way to handicap a player in chess is by playing blindfolded. However, this is not a viable option for computers, as remembering where the pieces are is trivial for them. Instead, we can play color blind and piece blind chess, where the computer gets to see where the pieces are but not what the pieces are. To prevent the computer from knowing the sequence of moves that were played, it is not allowed to see the game as it unfolds. Instead, it is given a set of bits, and it has to figure out where the pieces are and whose turn it is.

IV. The Random Move Strategy

The random move strategy is a canonical way of playing chess. At any given moment, there is only a set of moves that are legal, and the computer just randomly chooses one of those moves with the same probability for each one. While this strategy is not very good, it can be lucky and play any sequence of moves if it gets lucky.

V. Strategies Based on Piece Placement

Some strategies are based on piece placement. For example, the huddle strategy tries to move pieces such that they are close to the king, while the swarm strategy tries to move pieces such that they are close to the enemy king. These strategies are somewhat reasonable, as attacking the enemy king is good for winning, and blockading your own king has some advantages in terms of defense.

VI. Strategies Based on Piece Movement

Other strategies are based on piece movement. The CCCP strategy has only the following priorities in order: checkmate, check my king, capture a piece, and push a piece deeper into my territory. The alphabetical strategy moves based on the standard notation of the moves, while the coordinate strategy moves based on the coordinates of the moves.

VII. Traditional Chess Engines

Traditional chess engines use game tree search and minimax algorithms to assign a score to a position. They then pick the move that gives them the highest resulting score. While these engines are good, they are not very interesting, as they have been studied for decades.

VIII. The Color Blind and Piece Blind Chess Problem

The color blind and piece blind chess problem is a difficult problem for computers. One solution is to use a blind chess player that uses machine learning to predict the board. The blind chess player breaks the problem into two pieces: predicting the board and predicting the move. It uses a neural network to predict the board and stockfish to predict the move.

IX. The Blind Chess Player

The blind chess player is a strategy that plays color blind and piece blind chess. It uses a neural network to predict the board and stockfish to predict the move. It also uses a spy check to correct for mistakes in the predicted board. While it is not as good as traditional chess engines, it is substantially better than random.

X. Interpolation and the Scoville Scale

Interpolation is a way of smoothing out the tournament by introducing players that are a mix of stockfish and random moves. This creates a gradient between the strong engines and the lousy players, which helps with the accuracy of the tournament. This is similar to the Scoville scale, which is used to measure the spiciness of food.

XI. Conclusion

In conclusion, there are many lousy ways for computers to play chess, from the random move strategy to traditional chess engines. The blind chess player is a strategy that uses machine learning to predict the board and stockfish to predict the move. Interpolation is a way of smoothing out the tournament by introducing players that are a mix of stockfish and random moves. While these strategies are not perfect, they are interesting and provide Insight into the problem of playing chess online.