Rate the Article: Optimizing Chess Algorithms for Adaptive Gameplay and Cognitive Training, IJSR, Call for Papers, Online Journal
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 23 | Views: 270 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper | Computer Science | India | Volume 13 Issue 12, December 2024 | Rating: 5.8 / 10


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


Edition: Volume 13 Issue 12, December 2024,


Pages: 18 - 19



Rate this Article


Select Rating (Lowest: 1, Highest: 10)

5

Your Comments (Only high quality comments will be accepted.)

Characters: 0

Your Full Name:


Your Valid Email Address:


Verification Code will appear in 2 Seconds ... Wait

Top