Genetic WFC: Procedural Level Generation Maximizing Perceived Diversity - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2021

Genetic WFC: Procedural Level Generation Maximizing Perceived Diversity

Résumé

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.
Fichier principal
Vignette du fichier
ifip-icec2021_paper_87_doctoralconsortium_BAILLY.pdf (2.72 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

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

Identifiants

  • HAL Id : hal-03807178 , version 1

Citer

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⟩
68 Consultations
32 Téléchargements

Partager

Gmail Facebook X LinkedIn More