![]() This is why some of them get pretty confused when doing unusual things, which was a winnig approach in the older generations of chess enginges.īascially it's the taks of encoding the rules of the game and then, of course, find an algorithm to find the best solutions.įor that again there are many different approaches, linear optimization is one but has its impacts as the game is rather complex and solving systems of linear inequations is both a memory and cpu consumig task and cannot be multithreaded properly.Īnother approach is the use of genetic algorythms, which imho fits best to this kind of problem domain as it's encoding of the rules and possible strategies into the genstructer and rating the individuals of an population in the fitness function. ![]() Most of the chess engines rely on approved chess theortical investigations and have quiet a large bibliothek of them to evalute to first 12 moves of a game.
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