Controllable Procedural Content Generation via Constrained Multi-Dimensional Markov Chain Sampling
IJCAI, pp. 780-786, 2016.
Statistical models, such as Markov chains, have recently started to be studied for the purpose of Procedural Content Generation (PCG). A major problem with this approach is controlling the sampling process in order to obtain output satisfying some desired constraints. In this paper we present three approaches to constraining the content g...More
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