<!doctype html><html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en" prefix="og: http://ogp.me/ns#"> <head> <meta charset="utf-8"> <meta name="applicable-device" content="pc,mobile"> <meta name="viewport" content="width=device-width, initial-scale=1"> <title>Federated Learning Models for Collaborative AI Training in Multiplayer Games #658602675764 (2025-02-08)</title> <link rel="canonical" href="https://zp16yi.mit-edu.top/post/6327914085"> <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Poppins:wght@400;700&display=swap"> <link rel="stylesheet" href="https://x.mit-edu.top/static/css/style.css"> <script src="https://x.mit-edu.top/static/js/lazysizes.min.js" async></script> <link rel="shortcut icon" href="/favicon.ico"> <!-- Open Graph Metadata --> <meta property="og:type" content="article" /> <meta property="og:title" content="Federated Learning Models for Collaborative AI Training in Multiplayer Games" /> <meta property="og:description" content="Federated Learning Models for Collaborative AI Training in Multiplayer Games #658602675764 (2025-02-08)" /> <meta property="og:url" content="https://zp16yi.mit-edu.top/post/6327914085" /> <meta property="og:site_name" content="mit-edu.top" /> <meta property="og:image" content="https://x.mit-edu.top/static/images/post/16.jpg" /> <meta property="og:article:published_time" content="2025-02-08T06:41:11Z" /> <meta property="og:article:author" content="Dr. Donna Perez" /> <meta property="og:article:section" content="mit-edu.top" /> <meta property="og:article:tag" content="Games, Mobile Games, Video Games" /> <!-- Schema.org --> <script type="application/ld+json">{ "@context": "https://schema.org", "@type": "ScholarlyArticle", "headline": "Federated Learning Models for Collaborative AI Training in Multiplayer Games #658602675764 (2025-02-08)", "author": { "@type": "Person", "name": "Dr. Donna Perez", "affiliation": { "@type": "Organization", "name": "mit-edu.top" }, "url": "https://zp16yi.mit-edu.top/post/6327914085" }, "datePublished": "2025-02-08T06:41:11Z", "image": "https://x.mit-edu.top/static/images/post/16.jpg", "journal": { "@type": "Periodical", "name": "mit-edu.top", "issn": "10.1069/658602675764" }, "publisher": { "@type": "Organization", "name": "mit-edu.top", "url": "https://zp16yi.mit-edu.top" }, "doi": "658602675764", "abstract": "Federated Learning Models for Collaborative AI Training in Multiplayer Games #658602675764 (2025-02-08)", "citation": { "@type": "CreativeWork", "name": "Federated Learning Models for Collaborative AI Training in Multiplayer Games", "author": "Dr. Donna Perez", "datePublished": "2025-02-08T06:41:11Z", "url": "https://zp16yi.mit-edu.top/post/6327914085" } } </script></head> <body> <div class="site-mobile-menu site-navbar-target"> <div class="site-mobile-menu-header"> <div class="site-mobile-menu-close"> <span class="icofont-close js-menu-toggle"></span> </div> </div> <div class="site-mobile-menu-body"></div> </div> <nav class="site-nav"> <div class="container"> <div class="site-navigation"> <div class="row"> <div class="col-md-6 text-center order-1 order-md-2 mb-3 mb-md-0"> <a href="https://zp16yi.mit-edu.top" class="logo m-0 text-uppercase">mit-edu.top</a> </div> <div class="col-md-3 order-3 order-md-1"> </div> </div> </div> </div> </nav> <div class="section post-section pt-5"> <div class="container"> <div class="row justify-content-center"> <div class="col-lg-8"> <div class="text-center"> <img src="https://x.mit-edu.top/static/images/user/5.jpg" alt="Federated Learning Models for Collaborative AI Training in Multiplayer Games" title="Federated Learning Models for Collaborative AI Training in Multiplayer Games" class="author-pic img-fluid rounded-circle mx-auto"> </div> <span class="d-block text-center">Donna Perez</span> <span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-02-08</span> <h2 class="heading text-center">Federated Learning Models for Collaborative AI Training in Multiplayer Games</h2> <p class="lead mb-4 text-center">Thanks to Donna Perez for contributing the article "Federated Learning Models for Collaborative AI Training in Multiplayer Games". </p> <img src="https://x.mit-edu.top/static/images/post/16.jpg" alt="Federated Learning Models for Collaborative AI Training in Multiplayer Games" title="Federated Learning Models for Collaborative AI Training in Multiplayer Games" class="img-fluid rounded mb-4 lazyload"> <p>The social fabric of gaming is woven through online multiplayer experiences, where players collaborate, compete, and form lasting friendships in virtual realms. Whether teaming up in cooperative missions or facing off in intense PvP battles, the camaraderie and sense of community fostered by online gaming platforms transcend geographical distances, creating bonds that extend beyond the digital domain.</p><p>This study explores the integration of narrative design and gameplay mechanics in mobile games, focusing on how immersive storytelling can enhance player engagement and emotional investment. The research investigates how developers use branching narratives, character development, and world-building elements to create compelling storylines that drive player interaction and decision-making. Drawing on narrative theory and interactive storytelling principles, the paper examines how different narrative structures—such as linear, non-linear, and emergent storytelling—affect player experience in mobile games. The research also discusses the role of player agency in shaping the narrative and the challenges of balancing narrative depth with gameplay accessibility in mobile games.</p><p>This paper explores the role of mobile games in advancing the development of artificial general intelligence (AGI) by simulating aspects of human cognition, such as decision-making, problem-solving, and emotional response. The study investigates how mobile games can serve as testbeds for AGI research, offering a controlled environment in which AI systems can interact with human players and adapt to dynamic, unpredictable scenarios. By integrating cognitive science, AI theory, and game design principles, the research explores how mobile games might contribute to the creation of AGI systems that exhibit human-like intelligence across a wide range of tasks. The study also addresses the ethical concerns of AI in gaming, such as fairness, transparency, and accountability.</p><p>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><p>This study explores the integration of augmented reality (AR) technologies in mobile games, examining how AR enhances user engagement and immersion. 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