Using Game Theory to Model Collaborative Problem-Solving in Multiplayer Games
Barbara Garcia 2025-02-04

Using Game Theory to Model Collaborative Problem-Solving in Multiplayer Games

Thanks to Barbara Garcia for contributing the article "Using Game Theory to Model Collaborative Problem-Solving in Multiplayer Games".

Using Game Theory to Model Collaborative Problem-Solving in Multiplayer Games

Esports, the competitive gaming phenomenon, has experienced an unprecedented surge in popularity, evolving into a multi-billion-dollar industry with professional players competing for lucrative prize pools in tournaments watched by millions of viewers worldwide. The rise of esports has not only elevated gaming to a mainstream spectacle but has also paved the way for new career opportunities and avenues for aspiring gamers to showcase their skills on a global stage.

This paper explores the role of artificial intelligence (AI) in personalizing in-game experiences in mobile games, particularly through adaptive gameplay systems that adjust to player preferences, skill levels, and behaviors. The research investigates how AI-driven systems can monitor player actions in real-time, analyze patterns, and dynamically modify game elements, such as difficulty, story progression, and rewards, to maintain player engagement. Drawing on concepts from machine learning, reinforcement learning, and user experience design, the study evaluates the effectiveness of AI in creating personalized gameplay that enhances user satisfaction, retention, and long-term commitment to games. The paper also addresses the challenges of ensuring fairness and avoiding algorithmic bias in AI-based game design.

This research examines the application of Cognitive Load Theory (CLT) in mobile game design, particularly in optimizing the balance between game complexity and player capacity for information processing. The study investigates how mobile game developers can use CLT principles to design games that maximize player learning and engagement by minimizing cognitive overload. Drawing on cognitive psychology and game design theory, the paper explores how different types of cognitive load—intrinsic, extraneous, and germane—affect player performance, frustration, and enjoyment. The research also proposes strategies for using game mechanics, tutorials, and difficulty progression to ensure an optimal balance of cognitive load throughout the gameplay experience.

This paper explores the use of mobile games as learning tools, integrating gamification strategies into educational contexts. The research draws on cognitive learning theories and educational psychology to analyze how game mechanics such as rewards, challenges, and feedback influence knowledge retention, motivation, and problem-solving skills. By reviewing case studies of mobile learning games, the paper identifies best practices for designing educational games that foster deep learning experiences while maintaining player engagement. The study also examines the potential for mobile games to address disparities in education access and equity, particularly in resource-limited environments.

This study explores the integration of augmented reality (AR) technologies in mobile games, examining how AR enhances user engagement and immersion. It discusses technical challenges, user acceptance, and the future potential of AR in mobile gaming.

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