Generating Maps Using Markov Chains

نویسندگان

  • Sam Snodgrass
  • Santiago Ontañón
چکیده

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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تاریخ انتشار 2013