News - Transfer Learning Frameworks for Cross-Genre AI Adaptation in Games #188010100051 (2025-02-05)

Transfer Learning Frameworks for Cross-Genre AI Adaptation in Games

Thanks to Sandra Scott for contributing the article "Transfer Learning Frameworks for Cross-Genre AI Adaptation in Games".

The rise of e-sports has elevated gaming to a competitive arena, where skill, strategy, and teamwork converge to create spectacles that rival traditional sports. From epic tournaments with massive prize pools to professional leagues with dedicated fan bases, e-sports has become a global phenomenon, showcasing the talent and dedication of gamers worldwide. The adrenaline-fueled battles and nail-biting finishes not only entertain but also inspire a new generation of aspiring gamers and professional athletes.

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.

Indie game developers play a vital role in shaping the diverse landscape of gaming, bringing fresh perspectives, innovative gameplay mechanics, and compelling narratives to the forefront. Their creative freedom and entrepreneurial spirit fuel a culture of experimentation and discovery, driving the industry forward with bold ideas and unique gaming experiences that captivate players' imaginations.

This paper explores the application of artificial intelligence (AI) and machine learning algorithms in predicting player behavior and personalizing mobile game experiences. The research investigates how AI techniques such as collaborative filtering, reinforcement learning, and predictive analytics can be used to adapt game difficulty, narrative progression, and in-game rewards based on individual player preferences and past behavior. By drawing on concepts from behavioral science and AI, the study evaluates the effectiveness of AI-powered personalization in enhancing player engagement, retention, and monetization. The paper also considers the ethical challenges of AI-driven personalization, including the potential for manipulation and algorithmic bias.

This paper presents an ethnographic study of online multiplayer mobile gaming communities, exploring how players interact, collaborate, and form social bonds through gameplay. The research draws on theories of social capital, community building, and identity formation to analyze the dynamics of virtual relationships in mobile gaming. The study examines how mobile games facilitate socialization across geographical and cultural boundaries, while also addressing challenges such as online toxicity, harassment, and the commodification of social interaction. The paper offers a sociological perspective on the role of mobile games in shaping contemporary online communities and social practices.

2025-02-05

Understanding Risk Propensity in Players of High-Stakes Gaming Scenarios

This paper explores the role of mobile games in advancing the development of artificial general intelligence (AGI) by simulating aspects of human cognition, such as decision-making, problem-solving, and emotional response. The study investigates how mobile games can serve as testbeds for AGI research, offering a controlled environment in which AI systems can interact with human players and adapt to dynamic, unpredictable scenarios. By integrating cognitive science, AI theory, and game design principles, the research explores how mobile games might contribute to the creation of AGI systems that exhibit human-like intelligence across a wide range of tasks. The study also addresses the ethical concerns of AI in gaming, such as fairness, transparency, and accountability.

Judith Mitchell 2025-02-05 published post

2025-02-05

Gamification as a Tool for Teaching Computational Ethics in STEM Education

This research explores how mobile games contribute to the development of digital literacy skills among young players. It looks at how games can teach skills such as problem-solving, critical thinking, and technology literacy, and how these skills transfer to real-world applications. The study also considers the potential risks associated with mobile gaming, including exposure to online predators and the spread of misinformation, and suggests strategies for promoting safe and effective gaming.

Christopher Robinson 2025-02-05 published post

2025-02-05

A Systematic Review of Mobile Games for STEM Skill Development

This research critically examines the ethical implications of data mining in mobile games, particularly concerning the collection and analysis of player data for monetization, personalization, and behavioral profiling. The paper evaluates how mobile game developers utilize big data, machine learning, and predictive analytics to gain insights into player behavior, highlighting the risks associated with data privacy, consent, and exploitation. Drawing on theories of privacy ethics and consumer protection, the study discusses potential regulatory frameworks and industry standards aimed at safeguarding user rights while maintaining the economic viability of mobile gaming businesses.

Carol Campbell 2025-02-05 published post

Transfer Learning Frameworks for Cross-Genre AI Adaptation in Games

Related

Understanding Risk Propensity in Players of High-Stakes Gaming Scenarios

Gamification as a Tool for Teaching Computational Ethics in STEM Education

A Systematic Review of Mobile Games for STEM Skill Development

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