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  93.                    <span class="d-block text-center">Linda Miller</span>
  94.                    <span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-02-01</span>
  95.                    <h2 class="heading text-center">Understanding the Impact of Dynamic Discounts on In-Game Sales</h2>
  96.                    <p class="lead mb-4 text-center">Thanks to Linda Miller for contributing the article "Understanding the Impact of Dynamic Discounts on In-Game Sales".
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  212.                            </a>
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  214.                        <div class="content">
  215.                            <div class="post-meta mb-3">
  216.                                <a href="https://blog-3109468257.mit-edu.top/post/3109468257/" target="_blank">
  217.                                <span class="date">2025-02-01</span>
  218.                                </a>
  219.                            </div>
  220.                            <h2 class="heading"><a href="https://blog-977444520956.mit-edu.top/post/3109468257">Affective Computing in Mobile Games: Real-Time Emotion Recognition and Adaptation</a></h2>
  221.                            <p class="info">This study examines how mobile games can contribute to the development of smart cities, focusing on the integration of gaming technologies with urban planning, sustainability initiatives, and civic engagement efforts. The paper investigates the potential of mobile games to facilitate smart city initiatives, such as crowd-sourced data collection, environmental monitoring, and social participation. By exploring the intersection of gaming, urban studies, and IoT, the research discusses how mobile games can play a role in addressing contemporary challenges in urban sustainability, mobility, and governance.</p>
  222.                            <a href="https://blog-977444520956.mit-edu.top/post/3109468257" class="post-author d-flex align-items-center">
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  225.                                </div>
  226.                                <div class="text">
  227.                                    <strong>Ann Gonzales</strong>
  228.                                    <span>2025-02-01 published post</span>
  229.                                </div>
  230.                            </a>
  231.                        </div>
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  237.                            <a href="https://blog-977444520956.mit-edu.top/post/4527813906">
  238.                            <img src="https://x.mit-edu.top/static/images/post/1.jpg" alt="Analyzing Multi-Agent Collaboration Through Graph Neural Networks in Games" title="Analyzing Multi-Agent Collaboration Through Graph Neural Networks in Games" class="img-fluid lazyload">
  239.                            </a>
  240.                        </div>
  241.                        <div class="content">
  242.                            <div class="post-meta mb-3">
  243.                                <a href="https://blog-4527813906.mit-edu.top/post/4527813906/" target="_blank">
  244.                                <span class="date">2025-02-01</span>
  245.                                </a>
  246.                            </div>
  247.                            <h2 class="heading"><a href="https://blog-977444520956.mit-edu.top/post/4527813906">Analyzing Multi-Agent Collaboration Through Graph Neural Networks in Games</a></h2>
  248.                            <p class="info">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>
  249.                            <a href="https://blog-977444520956.mit-edu.top/post/4527813906" class="post-author d-flex align-items-center">
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  251.                                    <img src="https://x.mit-edu.top/static/images/user/2.jpg" alt="Analyzing Multi-Agent Collaboration Through Graph Neural Networks in Games" title="Analyzing Multi-Agent Collaboration Through Graph Neural Networks in Games" class="lazyload">
  252.                                </div>
  253.                                <div class="text">
  254.                                    <strong>Martha Perry</strong>
  255.                                    <span>2025-02-01 published post</span>
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