作者: Nathan Sturtevant , Matthew Guzdial , Nicolas Decroocq , Aaron Tripodi , Carolyn Yang
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摘要: Mixed-initiative procedural content generation (PCG) refers to systems where a human and AI cooperate in some way produce content. While there has been increasing interest research on these systems, are still many domains PCG approaches that have not yet explored. In this demonstration we introduce novel mixed-initiative tool employs Exhaustive for puzzle level design.