Game Design

AI in Gaming: Procedural Content and Personalization Artificial intelligence shapes how games create worlds and respond to players. It helps developers craft fresh experiences without scripting every path. Procedural Content Generation (PCG) uses algorithms to build levels, items, and quests on the fly. Techniques range from noise-based maps to constraint planners. Seeded generation gives you repeatable results while still offering variety. Personalization relies on player modeling: it tracks choices, skill, and pace to adjust difficulty, pacing, and suggestions. This keeps players engaged and reduces frustration. When well done, it feels like the game understands you. ...

Developing Games: From Mechanics to Engines Developing a game often starts with a simple feeling: how does it play, how does it respond, and what rules make it fun? Those feelings come from mechanics—the core ideas that guide player actions. When you describe them clearly, you can test them quickly with a tiny prototype. If the play feels right, you gain momentum to build a real engine that can handle more features without breaking the rules. ...

Gaming: From Engines to Player Experience Engines power the games we play, but the real story unfolds in the player’s hands. An engine provides tools for physics, rendering, and audio; the player experience is how quickly and clearly a game communicates state, responds to input, and invites immersion. Good design starts with human needs, then uses technology to meet them. Key factors shape this experience include performance, feedback, accessibility, and pacing. Consider this short checklist when you design a game loop: ...