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MAP-Elites algorithm generates diverse FPS game maps

Researchers have explored the use of the MAP-Elites algorithm, a quality diversity technique, for procedurally generating maps for first-person shooter (FPS) games. The study introduced novel map representations, including Point-Line and Spatial-Layout, alongside existing All-Black and Grid-Graph methods. By defining metrics for topological and emergent gameplay properties, the team identified key features to guide the MAP-Elites illumination process, ultimately generating diverse and high-quality FPS maps. AI

IMPACT Introduces a new method for procedural content generation in games, potentially improving game design workflows.

RANK_REASON The cluster contains an academic paper detailing a novel application of an existing algorithm to a specific domain. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Simone de Donato, Pier Luca Lanzi, Daniele Loiacono ·

    Procedural Generation of First Person Shooter Maps using Map-Elites

    arXiv:2605.30570v1 Announce Type: new Abstract: We investigate the application of MAP-Elites (a well-known quality diversity algorithm) to design levels for First-Person Shooter (FPS) games. We consider two well-known map representations (All-Black and Grid-Graph) and introduce t…