AI RESEARCH
CreativeGame:Toward Mechanic-Aware Creative Game Generation
arXiv CS.AI
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ArXi:2604.19926v1 Announce Type: new Large language models can generate plausible game code, but turning this capability into \emph{iterative creative improvement} remains difficult. In practice, single-shot generation often produces brittle runtime behavior, weak accumulation of experience across versions, and creativity scores that are too subjective to serve as reliable optimization signals. A further limitation is that mechanics are frequently treated only as post-hoc descriptions, rather than as explicit objects that can be planned, tracked, preserved, and evaluated during generation.