Optimizing Chess Algorithms for Adaptive Gameplay and Cognitive Training
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.
Authors
- Tanay Agrawal
Publication Details
- Journal
- International Journal of Science and Research (IJSR)
- Published
- 2024-12-03
- DOI
- https://doi.org/10.21275/sr241127153528
- Primary Topic
- Educational Games and Gamification
- Type
- article
- Field-Weighted Citation Impact
- 0.00