Optimizing Chess Algorithms for Adaptive Gameplay and Cognitive Training

Tanay Sandeep Agrawal

Abstract: This research investigates the development of adaptive chess algorithms to enhance gameplay experience and cognitive training. By leveraging artificial intelligence (AI) and machine learning (ML), the study aims to create personalized gaming experiences that improve player skills, engagement, and cognitive abilities such as decision - making, problem - solving, and strategic thinking.

Keywords: Adaptive Chess Algorithms, Cognitive Training, Artificial Intelligence in Chess, Dynamic Difficulty Adjustment

How to Cite?: Tanay Sandeep Agrawal, "Optimizing Chess Algorithms for Adaptive Gameplay and Cognitive Training", Volume 13 Issue 12, December 2024, International Journal of Science and Research (IJSR), Pages: 18-19, https://www.ijsr.net/getabstract.php?paperid=SR241127153528, DOI: https://dx.doi.org/10.21275/SR241127153528