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Conference Papers Year : 2021

Genetic WFC: Procedural Level Generation Maximizing Perceived Diversity

Abstract

Our research proposes a step towards generating levels mainly focused on player's experience, to help reach a high level of perceived diversity in procedural level generation. For a given gameplay, we want an algorithm that generates levels with enough structural quality, while optimizing mainly for a specific play experience. Then, diversity should be reached by searching for levels that are far apart in play experience space. To do so, we propose Genetic WFC, a way to mix genetic optimisation with the Wave Function Collapse algorithm, and describe the synthetic player used to evaluate each level's fitness.
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Dates and versions

hal-03807178 , version 1 (09-10-2022)

Identifiers

  • HAL Id : hal-03807178 , version 1

Cite

Raphaël Bailly, Guillaume Levieux. Genetic WFC: Procedural Level Generation Maximizing Perceived Diversity. IFIP International Conference on Entertainment Computing 2021, Nov 2021, Coimbra, Portugal. ⟨hal-03807178⟩
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