Nancy Lewis
2025-02-09
The Role of Explainability in Reinforcement Learning Models for Game AI
Thanks to Nancy Lewis for contributing the article "The Role of Explainability in Reinforcement Learning Models for Game AI".
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.
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A Comparative Analysis This paper provides a comprehensive analysis of various monetization models in mobile gaming, including in-app purchases, advertisements, and subscription services. It compares the effectiveness and ethical considerations of each model, offering recommendations for developers and policymakers.
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