Exploring Neural-Symbolic AI for Decision-Making in Real-Time Strategy Games
Scott Bennett 2025-02-03

Exploring Neural-Symbolic AI for Decision-Making in Real-Time Strategy Games

Thanks to Scott Bennett for contributing the article "Exploring Neural-Symbolic AI for Decision-Making in Real-Time Strategy Games".

Exploring Neural-Symbolic AI for Decision-Making in Real-Time Strategy Games

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.

The future of gaming is a tapestry woven with technological innovations, creative visions, and player-driven evolution. Advancements in artificial intelligence (AI), virtual reality (VR), augmented reality (AR), cloud gaming, and blockchain technology promise to revolutionize how we play, experience, and interact with games, ushering in an era of unprecedented possibilities and immersive experiences.

This research investigates the ethical, psychological, and economic impacts of virtual item purchases in free-to-play mobile games. The study explores how microtransactions and virtual goods, such as skins, power-ups, and loot boxes, influence player behavior, spending habits, and overall satisfaction. Drawing on consumer behavior theory, economic models, and psychological studies of behavior change, the paper examines the role of virtual goods in creating addictive spending patterns, particularly among vulnerable populations such as minors or players with compulsive tendencies. The research also discusses the ethical implications of monetizing gameplay through virtual goods and provides recommendations for developers to create fairer and more transparent in-game purchase systems.

This research examines the role of geolocation-based augmented reality (AR) games in transforming how urban spaces are perceived and interacted with by players. The study investigates how AR mobile games such as Pokémon Go integrate physical locations into gameplay, creating a hybrid digital-physical experience. The paper explores the implications of geolocation-based games for urban planning, public space use, and social interaction, considering both the positive and negative effects of blending virtual experiences with real-world environments. It also addresses ethical concerns regarding data privacy, surveillance, and the potential for gamifying everyday spaces in ways that affect public life.

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.

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