Self-Supervised Learning for Adversarial AI Models in Multiplayer Games
Samuel Jenkins 2025-02-08

Self-Supervised Learning for Adversarial AI Models in Multiplayer Games

Thanks to Samuel Jenkins for contributing the article "Self-Supervised Learning for Adversarial AI Models in Multiplayer Games".

Self-Supervised Learning for Adversarial AI Models in Multiplayer Games

Gaming communities thrive in digital spaces, bustling forums, social media hubs, and streaming platforms where players converge to share strategies, discuss game lore, showcase fan art, and forge connections with fellow enthusiasts. These vibrant communities serve as hubs of creativity, camaraderie, and collective celebration of all things gaming-related.

The fusion of gaming and storytelling has birthed narrative-driven masterpieces that transport players on epic journeys filled with rich characters, moral dilemmas, and immersive worlds. Role-playing games (RPGs), interactive dramas, and story-driven adventures weave intricate narratives that resonate with players on emotional, intellectual, and narrative levels, blurring the line between gaming and literature.

This paper offers a post-structuralist analysis of narrative structures in mobile games, emphasizing how game narratives contribute to the construction of player identity and agency. It explores the intersection of game mechanics, storytelling, and player interaction, considering how mobile games as “digital texts” challenge traditional notions of authorship and narrative control. Drawing upon the works of theorists like Michel Foucault and Roland Barthes, the paper examines the decentralized nature of mobile game narratives and how they allow players to engage in a performative process of meaning-making, identity construction, and subversion of preordained narrative trajectories.

This study examines the ethical implications of data collection practices in mobile games, focusing on how player data is used to personalize experiences, target advertisements, and influence in-game purchases. The research investigates the risks associated with data privacy violations, surveillance, and the exploitation of vulnerable players, particularly minors and those with addictive tendencies. By drawing on ethical frameworks from information technology ethics, the paper discusses the ethical responsibilities of game developers in balancing data-driven business models with player privacy. It also proposes guidelines for designing mobile games that prioritize user consent, transparency, and data protection.

This study examines the sustainability of in-game economies in mobile games, focusing on virtual currencies, trade systems, and item marketplaces. The research explores how virtual economies are structured and how players interact with them, analyzing the balance between supply and demand, currency inflation, and the regulation of in-game resources. Drawing on economic theories of market dynamics and behavioral economics, the paper investigates how in-game economic systems influence player spending, engagement, and decision-making. The study also evaluates the role of developers in maintaining a stable virtual economy and mitigating issues such as inflation, pay-to-win mechanics, and market manipulation. The research provides recommendations for developers to create more sustainable and player-friendly in-game economies.

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