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

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
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article

Optimizing Chess Algorithms for Adaptive Gameplay and Cognitive Training

Tanay Agrawal
International Journal of Science and Research (IJSR)
Educational Games and Gamification
article

Optimizing Chess Algorithms for Adaptive Gameplay and Cognitive Training

Tanay Agrawal
article en

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.

International Journal of Science and Research (IJSR)Vol. 13(12)
Openalex Percentile: Top 73%
Educational Games and Gamification
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Optimizing Chess Algorithms for Adaptive Gameplay and Cognitive Training — Tanay Agrawal · International Journal of Science and Research (IJSR) (2024) | TGRS Research Map | TGRS