Cryptographic Approaches for Securing Player-to-Player Transactions in Virtual Worlds #431914997987 (2025-02-02)

Cryptographic Approaches for Securing Player-to-Player Transactions in Virtual Worlds

Thanks to Kathleen Simmons for contributing the article "Cryptographic Approaches for Securing Player-to-Player Transactions in Virtual Worlds".

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.

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Mobile Games as Platforms for Interactive Environmental Education

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