Answer Set Programming for Procedural Content Generation: A Design Space Approach

  title={Answer Set Programming for Procedural Content Generation: A Design Space Approach},
  author={Adam M. Smith and Michael Mateas},
  journal={IEEE Transactions on Computational Intelligence and AI in Games},
Procedural content generators for games produce artifacts from a latent design space. This space is often only implicitly defined, an emergent result of the procedures used in the generator. In this paper, we outline an approach to content generation that centers on explicit description of the design space, using domain-independent procedures to produce artifacts from the described space. By concisely capturing a design space as an answer set program, we can rapidly define and expressively… CONTINUE READING
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