Bayesian Optimization for Fine-Tuning AI-Driven Game Mechanics
Michael Davis 2025-02-08

Bayesian Optimization for Fine-Tuning AI-Driven Game Mechanics

Thanks to Michael Davis for contributing the article "Bayesian Optimization for Fine-Tuning AI-Driven Game Mechanics".

Bayesian Optimization for Fine-Tuning AI-Driven Game Mechanics

This study explores the role of player customization in mobile games, focusing on how avatar and character customization can influence player identity, self-expression, and engagement. The research examines how customizing characters, outfits, and other in-game features enables players to create personalized experiences that reflect their preferences and identities. Drawing on social identity theory and self-concept research, the paper investigates how customization fosters emotional attachment to the game, as well as its impact on player behavior, such as social interaction and competition. The study also explores the commercial implications of offering customizable in-game items, including microtransactions and virtual economies.

This paper examines the integration of artificial intelligence (AI) in the design of mobile games, focusing on how AI enables adaptive game mechanics that adjust to a player’s behavior. The research explores how machine learning algorithms personalize game difficulty, enhance NPC interactions, and create procedurally generated content. It also addresses challenges in ensuring that AI-driven systems maintain fairness and avoid reinforcing harmful stereotypes.

This research explores how mobile gaming influences consumer behavior, particularly in relation to brand loyalty and purchasing decisions. It examines how in-game advertisements, product placements, and brand collaborations impact players’ perceptions and engagement with brands. The study also looks at the role of mobile gaming in shaping consumer trends, with a particular focus on young, tech-savvy demographics.

This paper explores the integration of artificial intelligence (AI) in mobile game design to enhance player experience through adaptive gameplay systems. The study focuses on how AI-driven algorithms adjust game difficulty, narrative progression, and player interaction based on individual player behavior, preferences, and skill levels. Drawing on theories of personalized learning, machine learning, and human-computer interaction, the research investigates the potential for AI to create more immersive and personalized gaming experiences. The paper also examines the ethical considerations of AI in games, particularly concerning data privacy, algorithmic bias, and the manipulation of player behavior.

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.

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