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<span class="d-block text-center">Jonathan Torres</span>
<span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-02-03</span>
<h2 class="heading text-center">Optimization of Procedural Content Generation Using Evolutionary Algorithms</h2>
<p class="lead mb-4 text-center">Thanks to Jonathan Torres for contributing the article "Optimization of Procedural Content Generation Using Evolutionary Algorithms".
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<p>This study examines the impact of cognitive load on player performance and enjoyment in mobile games, particularly those with complex gameplay mechanics. The research investigates how different levels of complexity, such as multitasking, resource management, and strategic decision-making, influence players' cognitive processes and emotional responses. Drawing on cognitive load theory and flow theory, the paper explores how game designers can optimize the balance between challenge and skill to enhance player engagement and enjoyment. The study also evaluates how players' cognitive load varies with game genre, such as puzzle games, action games, and role-playing games, providing recommendations for designing games that promote optimal cognitive engagement.</p>
<p>This study explores the role of artificial intelligence (AI) and procedural content generation (PCG) in mobile game development, focusing on how these technologies can create dynamic and ever-changing game environments. The paper examines how AI-powered systems can generate game content such as levels, characters, items, and quests in response to player actions, creating highly personalized and unique experiences for each player. Drawing on procedural generation theories, machine learning, and user experience design, the research investigates the benefits and challenges of using AI in game development, including issues related to content coherence, complexity, and player satisfaction. The study also discusses the future potential of AI-driven content creation in shaping the next generation of mobile games.</p>
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