Evolutionary Algorithms for Strategy Optimization in Mobile Gaming AI
Victoria Simmons 2025-02-01

Evolutionary Algorithms for Strategy Optimization in Mobile Gaming AI

Thanks to Victoria Simmons for contributing the article "Evolutionary Algorithms for Strategy Optimization in Mobile Gaming AI".

Evolutionary Algorithms for Strategy Optimization in Mobile Gaming AI

This paper explores the use of mobile games as educational tools, assessing their effectiveness in teaching various subjects and skills. It discusses the advantages and limitations of game-based learning in mobile contexts.

The allure of virtual worlds is undeniably powerful, drawing players into immersive realms where they can become anything from heroic warriors wielding enchanted swords to cunning strategists orchestrating grand schemes of conquest and diplomacy. These virtual realms are not just spaces for gaming but also avenues for self-expression and creativity, where players can customize their avatars, design unique outfits, and build virtual homes or kingdoms. The sense of agency and control over one's digital identity adds another layer of fascination to the gaming experience, blurring the boundaries between fantasy and reality.

This research critically examines the ethical considerations of marketing practices in the mobile game industry, focusing on how developers target players through personalized ads, in-app purchases, and player data analysis. The study investigates the ethical implications of targeting vulnerable populations, such as minors, by using persuasive techniques like loot boxes, microtransactions, and time-limited offers. Drawing on ethical frameworks in marketing and consumer protection law, the paper explores the balance between business interests and player welfare, emphasizing the importance of transparency, consent, and social responsibility in game marketing. The research also offers recommendations for ethical advertising practices that avoid manipulation and promote fair treatment of players.

This study leverages mobile game analytics and predictive modeling techniques to explore how player behavior data can be used to enhance monetization strategies and retention rates. The research employs machine learning algorithms to analyze patterns in player interactions, purchase behaviors, and in-game progression, with the goal of forecasting player lifetime value and identifying factors contributing to player churn. The paper offers insights into how game developers can optimize their revenue models through targeted in-game offers, personalized content, and adaptive difficulty settings, while also discussing the ethical implications of data collection and algorithmic decision-making in the gaming industry.

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.

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