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  52.            "abstract": "Hierarchical Temporal Memory Networks for Predicting Player Behaviors #671677862817 (2025-02-02)",
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  93.                    <span class="d-block text-center">Harold Matthews</span>
  94.                    <span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-02-02</span>
  95.                    <h2 class="heading text-center">Hierarchical Temporal Memory Networks for Predicting Player Behaviors</h2>
  96.                    <p class="lead mb-4 text-center">Thanks to Harold Matthews for contributing the article "Hierarchical Temporal Memory Networks for Predicting Player Behaviors".
  97.                    </p>
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  216.                                <a href="https://blog-6129537408.mit-edu.top/post/6129537408/" target="_blank">
  217.                                <span class="date">2025-02-02</span>
  218.                                </a>
  219.                            </div>
  220.                            <h2 class="heading"><a href="https://761390.mit-edu.top/post/6129537408">Adaptive AI-Driven Opponent Modeling in Asymmetric Multiplayer Mobile Games</a></h2>
  221.                            <p class="info">This research applies behavioral economics theories to the analysis of in-game purchasing behavior in mobile games, exploring how psychological factors such as loss aversion, framing effects, and the endowment effect influence players' spending decisions. The study investigates the role of game design in encouraging or discouraging spending behavior, particularly within free-to-play models that rely on microtransactions. The paper examines how developers use pricing strategies, scarcity mechanisms, and rewards to motivate players to make purchases, and how these strategies impact player satisfaction, long-term retention, and overall game profitability. The research also considers the ethical concerns associated with in-game purchases, particularly in relation to vulnerable players.</p>
  222.                            <a href="https://761390.mit-edu.top/post/6129537408" 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="Adaptive AI-Driven Opponent Modeling in Asymmetric Multiplayer Mobile Games" title="Adaptive AI-Driven Opponent Modeling in Asymmetric Multiplayer Mobile Games" class="lazyload">
  225.                                </div>
  226.                                <div class="text">
  227.                                    <strong>Rebecca Cook</strong>
  228.                                    <span>2025-02-02 published post</span>
  229.                                </div>
  230.                            </a>
  231.                        </div>
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  237.                            <a href="https://761390.mit-edu.top/post/4567109823">
  238.                            <img src="https://x.mit-edu.top/static/images/post/6.jpg" alt="Temporal Graph Neural Networks for Predicting Player Collaboration in Team-Based Mobile Games" title="Temporal Graph Neural Networks for Predicting Player Collaboration in Team-Based Mobile 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-4567109823.mit-edu.top/post/4567109823/" target="_blank">
  244.                                <span class="date">2025-02-02</span>
  245.                                </a>
  246.                            </div>
  247.                            <h2 class="heading"><a href="https://761390.mit-edu.top/post/4567109823">Temporal Graph Neural Networks for Predicting Player Collaboration in Team-Based Mobile Games</a></h2>
  248.                            <p class="info">This research examines the intersection of mobile games and the evolving landscape of media consumption, particularly in the context of journalism and news delivery. The study explores how mobile games are influencing the way users consume information, engage with news stories, and interact with media content. By analyzing game mechanics such as interactive narratives, role-playing elements, and user-driven content creation, the paper investigates how mobile games can be leveraged to deliver news in novel ways that increase engagement and foster critical thinking. The research also addresses the challenges of misinformation, echo chambers, and the ethical implications of gamified news delivery.</p>
  249.                            <a href="https://761390.mit-edu.top/post/4567109823" class="post-author d-flex align-items-center">
  250.                                <div class="author-pic">
  251.                                    <img src="https://x.mit-edu.top/static/images/user/2.jpg" alt="Temporal Graph Neural Networks for Predicting Player Collaboration in Team-Based Mobile Games" title="Temporal Graph Neural Networks for Predicting Player Collaboration in Team-Based Mobile Games" class="lazyload">
  252.                                </div>
  253.                                <div class="text">
  254.                                    <strong>Jacob Murphy</strong>
  255.                                    <span>2025-02-02 published post</span>
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