Category Archives: Procedural content generation
Bootstrapping Conditional GANs for Video Game Level Generation
Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning
Like an artificial Intelligence in a candy store
We auto-generated hundreds of match-3 levels for Candy Crush Saga using different methods to see if we could pass them off as human-generated levels. Capturing patterns and creating symmetry were the main ingredients of the succeeding algorithm. If you’ve played a lot of Candy Crush Saga, you might be able to answer this: Which of …
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How to replace hours of development work using ML bots
Goodgame Studios: A modl.ai case study Big Farm: Home and Garden is a free to play home design themed, match-3 puzzle game developed by Hamburg-based Goodgame Studios. They approached the team at modl.ai to see if there was a better solution using data-driven artificial intelligence (AI) to replace hours of development work. Platforms Android iOS …
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