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<span class="d-block text-center">Ronald Parker</span>
<span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-01-31</span>
<h2 class="heading text-center">Tokenomics Balancing in Decentralized Virtual Economies: A Machine Learning Approach</h2>
<p class="lead mb-4 text-center">Thanks to Ronald Parker for contributing the article "Tokenomics Balancing in Decentralized Virtual Economies: A Machine Learning Approach".
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<p>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.</p>
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