AAAI Publications, Ninth Artificial Intelligence and Interactive Digital Entertainment Conference

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Generating Maps Using Markov Chains
Sam Snodgrass, Santiago Ontanon

Last modified: 2013-11-13

Abstract


In this paper we outline a method of procedurally generating maps using Markov Chains. Our method attempts to learn what makes a "good" map from a set of given human-authored maps, and then uses those learned patterns to generate new maps. We present an empirical evaluation using the game "Super Mario Bros.," showing encouraging results.

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