Generating Maps Using Markov Chains

Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment（2021）

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摘要

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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