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Source: https://blog-593612943206.mit-edu.top/post/9607534812

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  52.            "abstract": "Self-Supervised Learning for Autonomous NPC Behavior in Large-Scale Games #596838559412 (2025-02-02)",
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  93.                    <span class="d-block text-center">Patrick Russell</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">Self-Supervised Learning for Autonomous NPC Behavior in Large-Scale Games</h2>
  96.                    <p class="lead mb-4 text-center">Thanks to Patrick Russell for contributing the article "Self-Supervised Learning for Autonomous NPC Behavior in Large-Scale Games".
  97.                    </p>
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  99.                    <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>
  100. <p>This study applies social network analysis (SNA) to investigate the role of social influence and network dynamics in mobile gaming communities. It examines how social relationships, information flow, and peer-to-peer interactions within these communities shape player behavior, preferences, and engagement patterns. The research builds upon social learning theory and network theory to model the spread of gaming behaviors, including game adoption, in-game purchases, and the sharing of strategies and achievements. The study also explores how mobile games leverage social influence mechanisms, such as multiplayer collaboration and social rewards, to enhance player retention and lifetime value.</p>
  101. <p>This longitudinal study investigates the effectiveness of gamification elements in mobile fitness games in fostering long-term behavioral changes related to physical activity and health. By tracking player behavior over extended periods, the research assesses the impact of in-game rewards, challenges, and social interactions on players’ motivation and adherence to fitness goals. The paper employs a combination of quantitative and qualitative methods, including surveys, biometric data, and in-game analytics, to provide a comprehensive understanding of how game mechanics influence physical activity patterns, health outcomes, and sustained engagement.</p>
  102. <p>This study examines the ethical implications of data collection practices in mobile games, focusing on how player data is used to personalize experiences, target advertisements, and influence in-game purchases. The research investigates the risks associated with data privacy violations, surveillance, and the exploitation of vulnerable players, particularly minors and those with addictive tendencies. By drawing on ethical frameworks from information technology ethics, the paper discusses the ethical responsibilities of game developers in balancing data-driven business models with player privacy. It also proposes guidelines for designing mobile games that prioritize user consent, transparency, and data protection.</p>
  103. <p>This study applies social psychology theories to understand how group identity and collective behavior are formed and manifested within multiplayer mobile games. The research investigates the ways in which players form alliances, establish group norms, and engage in cooperative or competitive behaviors. By analyzing case studies of popular multiplayer mobile games, the paper explores the role of ingroups and outgroups, social influence, and group polarization within game environments. It also examines the psychological effects of online social interaction in gaming communities, discussing how mobile games foster both prosocial behavior and toxic interactions within groups.</p>
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  194.                            <p class="info">This paper explores the use of artificial intelligence (AI) in predicting player behavior in mobile games. It focuses on how AI algorithms can analyze player data to forecast actions such as in-game purchases, playtime, and engagement. The research examines the potential of AI to enhance personalized gaming experiences, improve game design, and increase player retention rates.</p>
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  200.                                    <strong>Amy Ward</strong>
  201.                                    <span>2025-02-02 published post</span>
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  216.                                <a href="https://blog-7586304291.mit-edu.top/post/7586304291/" target="_blank">
  217.                                <span class="date">2025-02-02</span>
  218.                                </a>
  219.                            </div>
  220.                            <h2 class="heading"><a href="https://blog-593612943206.mit-edu.top/post/7586304291">Analyzing the Role of Time Pressure on Decision-Making in Competitive Mobile Games</a></h2>
  221.                            <p class="info">This paper presents a sociocultural analysis of the representation of gender, race, and identity in mobile games. It explores how mobile games construct social identities through character design, narrative framing, and player interaction. The research examines the ways in which game developers can either reinforce or challenge societal stereotypes and cultural norms, with a particular focus on gender dynamics in both player avatars and character roles. Drawing on critical theories of representation, postcolonial studies, and feminist media studies, the study explores the implications of these representations for player self-perception and broader societal trends related to gender equality and diversity.</p>
  222.                            <a href="https://blog-593612943206.mit-edu.top/post/7586304291" class="post-author d-flex align-items-center">
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  225.                                </div>
  226.                                <div class="text">
  227.                                    <strong>Brandon Barnes</strong>
  228.                                    <span>2025-02-02 published post</span>
  229.                                </div>
  230.                            </a>
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  237.                            <a href="https://blog-593612943206.mit-edu.top/post/2963175084">
  238.                            <img src="https://x.mit-edu.top/static/images/post/3.jpg" alt="Temporal Dynamics of Engagement in Episodic Game Releases" title="Temporal Dynamics of Engagement in Episodic Game Releases" class="img-fluid lazyload">
  239.                            </a>
  240.                        </div>
  241.                        <div class="content">
  242.                            <div class="post-meta mb-3">
  243.                                <a href="https://blog-2963175084.mit-edu.top/post/2963175084/" target="_blank">
  244.                                <span class="date">2025-02-02</span>
  245.                                </a>
  246.                            </div>
  247.                            <h2 class="heading"><a href="https://blog-593612943206.mit-edu.top/post/2963175084">Temporal Dynamics of Engagement in Episodic Game Releases</a></h2>
  248.                            <p class="info">This research investigates how machine learning (ML) algorithms are used in mobile games to predict player behavior and improve game design. The study examines how game developers utilize data from players’ actions, preferences, and progress to create more personalized and engaging experiences. Drawing on predictive analytics and reinforcement learning, the paper explores how AI can optimize game content, such as dynamically adjusting difficulty levels, rewards, and narratives based on player interactions. The research also evaluates the ethical considerations surrounding data collection, privacy concerns, and algorithmic fairness in the context of player behavior prediction, offering recommendations for responsible use of AI in mobile games.</p>
  249.                            <a href="https://blog-593612943206.mit-edu.top/post/2963175084" class="post-author d-flex align-items-center">
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  251.                                    <img src="https://x.mit-edu.top/static/images/user/8.jpg" alt="Temporal Dynamics of Engagement in Episodic Game Releases" title="Temporal Dynamics of Engagement in Episodic Game Releases" class="lazyload">
  252.                                </div>
  253.                                <div class="text">
  254.                                    <strong>Shirley Ramirez</strong>
  255.                                    <span>2025-02-02 published post</span>
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