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Source: https://blog-affjdh09z.mit-edu.top/post/9258041637

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  52.            "abstract": "Pricing Dynamics in Player-to-Player Trading Markets: A Game-Theoretic Analysis #648645377468 (2025-02-06)",
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  93.                    <span class="d-block text-center">Ruth Wood</span>
  94.                    <span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-02-06</span>
  95.                    <h2 class="heading text-center">Pricing Dynamics in Player-to-Player Trading Markets: A Game-Theoretic Analysis</h2>
  96.                    <p class="lead mb-4 text-center">Thanks to Ruth Wood for contributing the article "Pricing Dynamics in Player-to-Player Trading Markets: A Game-Theoretic Analysis".
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  210.                            <a href="https://blog-affjdh09z.mit-edu.top/post/0874269351">
  211.                            <img src="https://x.mit-edu.top/static/images/post/19.jpg" alt="Predictive Models for Revenue Optimization in Freemium Games" title="Predictive Models for Revenue Optimization in Freemium Games" class="img-fluid lazyload">
  212.                            </a>
  213.                        </div>
  214.                        <div class="content">
  215.                            <div class="post-meta mb-3">
  216.                                <a href="https://blog-0874269351.mit-edu.top/post/0874269351/" target="_blank">
  217.                                <span class="date">2025-02-06</span>
  218.                                </a>
  219.                            </div>
  220.                            <h2 class="heading"><a href="https://blog-affjdh09z.mit-edu.top/post/0874269351">Predictive Models for Revenue Optimization in Freemium Games</a></h2>
  221.                            <p class="info">This study investigates the use of gamification techniques in mobile learning applications, focusing on how game-like elements such as scoring, badges, and leaderboards influence user engagement and motivation. It assesses the effectiveness of gamification in enhancing learning outcomes, particularly in educational apps targeting children and young adults. The paper also addresses challenges in designing gamified systems that balance educational value with entertainment.</p>
  222.                            <a href="https://blog-affjdh09z.mit-edu.top/post/0874269351" class="post-author d-flex align-items-center">
  223.                                <div class="author-pic">
  224.                                    <img src="https://x.mit-edu.top/static/images/user/15.jpg" alt="Predictive Models for Revenue Optimization in Freemium Games" title="Predictive Models for Revenue Optimization in Freemium Games" class="lazyload">
  225.                                </div>
  226.                                <div class="text">
  227.                                    <strong>George Baker</strong>
  228.                                    <span>2025-02-06 published post</span>
  229.                                </div>
  230.                            </a>
  231.                        </div>
  232.                    </div>
  233.                </div>
  234.                <div class="col-lg-12">
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  237.                            <a href="https://blog-affjdh09z.mit-edu.top/post/7162395408">
  238.                            <img src="https://x.mit-edu.top/static/images/post/16.jpg" alt="Adaptive Game Ecosystems Using Continuous AI Monitoring and Feedback" title="Adaptive Game Ecosystems Using Continuous AI Monitoring and Feedback" class="img-fluid lazyload">
  239.                            </a>
  240.                        </div>
  241.                        <div class="content">
  242.                            <div class="post-meta mb-3">
  243.                                <a href="https://blog-7162395408.mit-edu.top/post/7162395408/" target="_blank">
  244.                                <span class="date">2025-02-06</span>
  245.                                </a>
  246.                            </div>
  247.                            <h2 class="heading"><a href="https://blog-affjdh09z.mit-edu.top/post/7162395408">Adaptive Game Ecosystems Using Continuous AI Monitoring and Feedback</a></h2>
  248.                            <p class="info">This paper provides a comparative legal analysis of intellectual property (IP) rights as they pertain to mobile game development, focusing on the protection of game code, design elements, and in-game assets across different jurisdictions. The study examines the legal challenges that developers face when navigating copyright, trademark, and patent law in the global mobile gaming market. By comparing IP regulations in the United States, the European Union, and Asia, the paper identifies key legal barriers and proposes policy recommendations to foster innovation while protecting the intellectual property of creators. The study also considers emerging issues such as the ownership of user-generated content and the legal status of in-game assets like NFTs.</p>
  249.                            <a href="https://blog-affjdh09z.mit-edu.top/post/7162395408" class="post-author d-flex align-items-center">
  250.                                <div class="author-pic">
  251.                                    <img src="https://x.mit-edu.top/static/images/user/4.jpg" alt="Adaptive Game Ecosystems Using Continuous AI Monitoring and Feedback" title="Adaptive Game Ecosystems Using Continuous AI Monitoring and Feedback" class="lazyload">
  252.                                </div>
  253.                                <div class="text">
  254.                                    <strong>Peter Butler</strong>
  255.                                    <span>2025-02-06 published post</span>
  256.                                </div>
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