The impact of AI use on the performance of chess engines

This paper presents a comprehensive comparative analysis of chess engines with particular focus on artificial intelligence technologies used in their implementation. Six engines were examined, representing various algorithmic approaches – from classical heuristic methods to advanced neural networks and reinforcement learning. Experiments were conducted for three different starting positions and with three time controls. The results clearly indicate the superiority of engines utilizing advanced machine learning techniques, which achieved the highest effectiveness in all tested conditions. The conducted research provides valuable information about the impact of applied AI technologies on the playing strength of chess engines in diverse conditions.