Procedural Content Generation in Games (various projects)

Project description

Procedural Content Generation in Games refers to the automatic creation of game content using an algorithm. This includes aspects such as levels, terrain, quests, character designs, etc. Procedural content generation is frequently employed across the modern video game industry to create randomised and engaging experiences. Notable examples of games that heavily utilise procedurally generated content include Minecraft, No Man's Sky, Spelunky, Into the Breach, Dead Cells, Spore, Left 4 Dead, and many others.   In recent years, procedural content generation has also become a significant field within Game AI research, with many techniques being developed to generate and evaluate various types of content. These content generation algorithms often have differing motivations and goals behind their creation, such as generators that personalise their content output to a specific player or focus on a desirable content attribute such as enjoyment, realism, or diversity.   This project will involve selecting a specific game or genre and developing a procedural content generation algorithm for it. This could involve improving existing content generation approaches for games such as Mario, Zelda, and Angry Birds, or investigating the potential of content generation for a previously unexplored game.

Co-supervisors

Brett Wilkinson

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You must also contact each supervisor directly to discuss both the project details and your suitability to undertake the project.