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Optimizing Chess Algorithms for Adaptive Gameplay and Cognitive Training

Year: 2024

Type: article

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.

Source: International Journal of Science and Research (IJSR)

DOI: 10.21275/sr241127153528

Author: Tanay Sandeep Agrawal

Language: English

Topic: Artificial Intelligence in Games

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4404969113

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