Player-Centric Game Balancing Through Reinforcement Learning and Multi-Agent Systems
Laura Bell 2025-02-07

Player-Centric Game Balancing Through Reinforcement Learning and Multi-Agent Systems

Thanks to Laura Bell for contributing the article "Player-Centric Game Balancing Through Reinforcement Learning and Multi-Agent Systems".

Player-Centric Game Balancing Through Reinforcement Learning and Multi-Agent Systems

Virtual reality gaming has unlocked a new dimension of immersion, transporting players into fantastical realms where they can interact with virtual environments and characters in ways previously unimaginable. The sensory richness of VR experiences, coupled with intuitive motion controls, has redefined how players engage with games, blurring the boundaries between the digital realm and the physical world.

This study presents a multidimensional framework for understanding the diverse motivations that drive player engagement across different mobile game genres. By drawing on Self-Determination Theory (SDT), the research examines how intrinsic and extrinsic motivation factors—such as achievement, autonomy, social interaction, and competition—affect player behavior and satisfaction. The paper explores how various game genres (e.g., casual, role-playing, and strategy games) tailor their game mechanics to cater to different motivational drivers. It also evaluates how player motivation impacts retention, in-game purchases, and long-term player loyalty, offering a deeper understanding of game design principles and their role in shaping player experiences.

This research explores the potential of blockchain technology to transform the digital economy of mobile games by enabling secure, transparent ownership of in-game assets. The study examines how blockchain can be used to facilitate the creation, trading, and ownership of non-fungible tokens (NFTs) within mobile games, allowing players to buy, sell, and trade unique digital items. Drawing on blockchain technology, game design, and economic theory, the paper investigates the implications of decentralized ownership for game economies, player rights, and digital scarcity. The research also considers the challenges of implementing blockchain in mobile games, including scalability, transaction costs, and the environmental impact of blockchain mining.

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.

This research explores the use of adaptive learning algorithms and machine learning techniques in mobile games to personalize player experiences. The study examines how machine learning models can analyze player behavior and dynamically adjust game content, difficulty levels, and in-game rewards to optimize player engagement. By integrating concepts from reinforcement learning and predictive modeling, the paper investigates the potential of personalized game experiences in increasing player retention and satisfaction. The research also considers the ethical implications of data collection and algorithmic bias, emphasizing the importance of transparent data practices and fair personalization mechanisms in ensuring a positive player experience.

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