Introduction
All major chess events scheduled for the second half of 2020 were canceled, including the forty-four Chess Olympiad and the World Chess Champion title game. As a result, many of the world’s largest online chess tournaments have recently been played online for the first time in history. With the advent of the CCIDID-19 epidemic, chess was one of the few games that we’re able to remain relevant to the public and even gain popularity, with fans watching online chess competitions from their homes.
Although the game of chess can be played on the air in the same way that it is played without the Internet, there are some concerns about the increase in fraud, and many software companies are looking for solutions.
Artificial Intelligence Progress Shown in Chess
Artificial intelligence is making a revolution, but at the same time, it has caused a revolution in the world. Chess has encouraged intellectual development for decades. The rise in chess technology has continued beyond the game, changing the way social media is made. The advancement of creative design, reinforced by game design, has impacted many other areas of interest, as has been noted in recent years.
One of the most popular people to attack machine events was the 1997 victory of Deep Blue, IBM chess software, in opposition to the famous chess champion Garry Kasparov [3]. Thus, this victory was largely based on violence, as the Deep Blue program sought millions of positions per second to play chess with superpowers (a program that won a 6-game game with Garry Kasparov by one point difference), so it was probably even more exciting that Kasparov, using human intuition, could still as powerful as a computer that searches millions of sites per second. In the years that followed, computing power soared that even chess players were less likely to win the modern engine, as previously mentioned.
Moreover, the algorithm is even better than AlphaZero released last year. On 19 May 2019, DeepMind launched the latest algorithm based on learning enhancement, In Zero. The In Zero algorithm has learned to play chess better than AlphaZero without even being told the rules of the game. The Zero learning algorithm has a total of one million chess games stored in the buffer, with 3000 games played the same, as reported by Schrittwieser et al. This was possible because DeepMind was able to access Google’s annual size and used thousands of tensors to configure unit chips designed for neural network counts.
There is no way to read all that can go on the chessboard to the end of the game due to the number of possible positions in chess. The first tables tried to fix at least 5- to 6-piece chess endgames designed by Ken Thompson. A large amount of storage required to do this makes it impossible to see this concept in all possible chess sites even today.
Thus, the AlphaZero program for learning the game of chess in just four hours and the rules of the game was amazing. Therefore, the new In Zero algorithm, which can play chess at a level similar to AlphaZero without accepting these rules, is even more impressive. Later, even an open-source engine like the Leela Chess Zero was able to reach the Zero level and even surpass it. This was made possible by the power of computers and the development of a code provided by a large number of volunteers worldwide.
Artificial Intelligence Used for Cheating Detection in Chess Tournaments
It has long been thought that people would use their ingenuity to learn how to play better at chess, but now it is being used successfully to see if other competitors are playing better than they should, considering the history of their game. However, these fraudulent schemes come up with a number of controversial issues.
As stated in the Anti-Cheating Guidelines published by the International Chess Federation (FIDE) in 2014, in general, a hand-held metal device is sufficient to ensure that electronic devices are not delivered to the gaming area, providing protection against board games. . Thus, in online chess games, cheating has proved to be very difficult. About 400,000 players come from the 55 European organizations registered for the European Online Chess Championship held in May 2020, which was the record number of participants in the official international chess tournament. Five of the six players in the top B group (rating 1400-1700) of the European Online Championship have been banned. In total, more than 80 participants were excluded from all groups, which make up about 2% of players, mostly from beginners or youth groups. Several bans at the European Online Chess Championship have highlighted the biggest challenge facing Internet chess: cheating.
Cheat Detection Issues
There are some serious issues that need to be considered regarding online play and crime detection. First, there is the possibility that the player who does not cheat will be considered a fraud. This would cause serious problems in the work of such a chess player. It’s hard to do this kind of test for the game of chess in their first recorded game, but after playing several games in online games, these programs can detect the unpredictable difference between regular games and games where the chess engines are. use.
Trying to use a chess engine every time to playfully is impossible again; this is easy to see, as the player would take first place, and in this case, the game can be evaluated by a human expert. As a result, for those who play flexibly because they sometimes rely on their own choices and sometimes use chess engines, a new type of cheating detection software based on artificial intelligence chess game sees this much better, with faster speed and accuracy than the human player. All suspected fraud cases are investigated individually by a panel of experts in this field before any disclosure can be made public.
The software uses some sort of algorithm to detect non-chess moves from a real player. To catch a suspected fraudster, the software evaluates a set of chess chairs played by one player (probably a few hundred but the test can work with fewer games) and converts them into a personal character measure. This helps to detect improper performance by using a machine learning algorithm based on interactions, and the result is a description of flags that indicate fraud. Also, if there is a high number of chess games played by another player in the training set, the program will have a higher level.
An absolute
The key to progress in the field of design intelligence is that we are able to measure any progress in machine learning algorithms, for example, through the chess engines that are using them. In other words, it can be argued that chess is a battlefield of intelligent design, as it is the perfect way to test the battle between human intuition and the enormous power of the computer. Because of the complex but well-defined nature of game systems in general, they have proven to be the perfect environment to test any progress in design ingenuity.
Competing with other chess players is a bigger part of chess competitions today than ever before, so it is not surprising that online fair play is highly regarded by chess players who see cheating as a major obstacle to their entire gaming experience and industry. cheat detection software.
Cheat detection software has already been applied to key games on board, even before the CCIDID-19 epidemic, but this time forcing digitalization has meant that the installation of software to detect fraud has been largely carried out, even at recreational games.
Still, the growing popularity of chess engine analysis and its accuracy allows players to play their best games and improve the overall level of chess. Chessify.me can analyze your current positions for free at up to 1,000 kN/s speed with Stockfish, asmFish, SugaR, and other chess engines. Having additional cloud storage to store games and analysis helps players learn more effectively. It’s a win-win investment for those of all levels, from beginner to Grandmaster.
