A Multi-Agent Deep Learning Framework for Real-Time Strategy Games on Mobile Platforms
Carol Campbell 2025-02-08

A Multi-Agent Deep Learning Framework for Real-Time Strategy Games on Mobile Platforms

Thanks to Carol Campbell for contributing the article "A Multi-Agent Deep Learning Framework for Real-Time Strategy Games on Mobile Platforms".

A Multi-Agent Deep Learning Framework for Real-Time Strategy Games on Mobile Platforms

This systematic review examines existing literature on the effects of mobile gaming on mental health, identifying both beneficial and detrimental outcomes. It provides evidence-based recommendations for stakeholders in the gaming industry and healthcare sectors.

Gaming has become a universal language, transcending geographical boundaries and language barriers. It allows players from all walks of life to connect, communicate, and collaborate through shared experiences, fostering friendships that span the globe. The rise of online multiplayer gaming has further strengthened these connections, enabling players to form communities, join guilds, and participate in global events, creating a sense of camaraderie and belonging in a digital world.

The gaming industry's commercial landscape is fiercely competitive, with companies employing diverse monetization strategies such as microtransactions, downloadable content (DLC), and subscription models to sustain and grow their player bases. Balancing player engagement with revenue generation is a delicate dance that requires thoughtful design and consideration of player feedback.

This paper examines the application of behavioral economics and game theory in understanding consumer behavior within the mobile gaming ecosystem. It explores how concepts such as loss aversion, anchoring bias, and the endowment effect are leveraged by mobile game developers to influence players' in-game spending, decision-making, and engagement. The study also introduces game-theoretic models to analyze the strategic interactions between developers, players, and other stakeholders, such as advertisers and third-party service providers, proposing new models for optimizing user acquisition and retention strategies in the competitive mobile game market.

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.

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