The most obvious domain for creating an Artificial Intelligence is chess. The ability to play a game without human intervention is a goal which can be solved by today's computer easily. Most chess engines have a higher ELO score than their human counterparts.

A subpart of computer chess are pattern databases for recording game logs of played games in the past. One of them is SCID [1] which can be utilized for machine learning analysis[2]. It allows to predict the outcome of a game without calculating all the steps until it's real end. This helps to increase the performance of a chess engine.


  1. Scid, Shane's Chess Information Database https://www.chessprogramming.org/SCID
  2. Lehana, Paras, et al. "Statistical Analysis on Result Prediction in Chess." International Journal of Information Engineering and Electronic Business 10.4 (2018): 25.
Community content is available under CC-BY-SA unless otherwise noted.