research-article

Empowering Quality Diversity in Dungeon Design with Interactive Constrained MAP-Elites

Authors:

Alberto Alvarez,

Steve Dahlskog,

Julian TogeliusAuthors Info & Claims

2019 IEEE Conference on Games (CoG)

Pages 1 - 8

https://doi.org/10.1109/CIG.2019.8848022

Published: 20 August 2019 Publication History

Abstract

We propose the use of quality-diversity algorithms for mixed-initiative game content generation. This idea is implemented as a new feature of the Evolutionary Dungeon Designer, a system for mixed-initiative design of the type of levels you typically find in computer role playing games. The feature uses the MAP-Elites algorithm, an illumination algorithm which divides the population into a number of cells depending on their values along several behavioral dimensions. Users can flexibly and dynamically choose relevant dimensions of variation, and incorporate suggestions produced by the algorithm in their map designs. At the same time, any modifications performed by the human feed back into MAP-Elites, and are used to generate further suggestions.

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Cited By

Dumont FRiff MLi XHandl J(2024)2-Step Evolutionary Algorithm for the generation of dungeons with lock door missions using horizontal symmetryProceedings of the Genetic and Evolutionary Computation Conference10.1145/3638529.3654153(1210-1218)Online publication date: 14-Jul-2024
https://dl.acm.org/doi/10.1145/3638529.3654153
Gaier AStoddart JVillaggi LSudhakaran SLi XHandl J(2024)Generative Design through Quality-Diversity Data Synthesis and Language ModelsProceedings of the Genetic and Evolutionary Computation Conference10.1145/3638529.3654138(823-831)Online publication date: 14-Jul-2024
https://dl.acm.org/doi/10.1145/3638529.3654138
Gadea Harder JNeumann ANeumann F(2024)Analysis of Evolutionary Diversity Optimisation for the Maximum Matching ProblemParallel Problem Solving from Nature – PPSN XVIII10.1007/978-3-031-70071-2_10(149-165)Online publication date: 14-Sep-2024
https://dl.acm.org/doi/10.1007/978-3-031-70071-2_10
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Empowering Quality Diversity in Dungeon Design with Interactive Constrained MAP-Elites

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cover image Guide Proceedings

2019 IEEE Conference on Games (CoG)

Aug 2019

1060 pages

Copyright © 2019.

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IEEE Press

Publication History

Published: 20 August 2019

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Cited By

Dumont FRiff MLi XHandl J(2024)2-Step Evolutionary Algorithm for the generation of dungeons with lock door missions using horizontal symmetryProceedings of the Genetic and Evolutionary Computation Conference10.1145/3638529.3654153(1210-1218)Online publication date: 14-Jul-2024
https://dl.acm.org/doi/10.1145/3638529.3654153
Gaier AStoddart JVillaggi LSudhakaran SLi XHandl J(2024)Generative Design through Quality-Diversity Data Synthesis and Language ModelsProceedings of the Genetic and Evolutionary Computation Conference10.1145/3638529.3654138(823-831)Online publication date: 14-Jul-2024
https://dl.acm.org/doi/10.1145/3638529.3654138
Gadea Harder JNeumann ANeumann F(2024)Analysis of Evolutionary Diversity Optimisation for the Maximum Matching ProblemParallel Problem Solving from Nature – PPSN XVIII10.1007/978-3-031-70071-2_10(149-165)Online publication date: 14-Sep-2024
https://dl.acm.org/doi/10.1007/978-3-031-70071-2_10
Zammit MLiapis AYannakakis G(2024)MAP-Elites with Transverse Assessment for Multimodal Problems in Creative DomainsArtificial Intelligence in Music, Sound, Art and Design10.1007/978-3-031-56992-0_26(401-417)Online publication date: 3-Apr-2024
https://dl.acm.org/doi/10.1007/978-3-031-56992-0_26
Sfikas KLiapis AYannakakis GSilva SPaquete L(2023)Controllable Exploration of a Design Space via Interactive Quality DiversityProceedings of the Companion Conference on Genetic and Evolutionary Computation10.1145/3583133.3590616(167-170)Online publication date: 15-Jul-2023
https://dl.acm.org/doi/10.1145/3583133.3590616
Kent PBranke JSilva SPaquete L(2023)Bayesian Quality Diversity Search with Interactive IlluminationProceedings of the Genetic and Evolutionary Computation Conference10.1145/3583131.3590486(1019-1026)Online publication date: 15-Jul-2023
https://dl.acm.org/doi/10.1145/3583131.3590486
Macé VBoige RChalumeau FPierrot TRichard GPerrin-Gilbert NSilva SPaquete L(2023)The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision TransformersProceedings of the Genetic and Evolutionary Computation Conference10.1145/3583131.3590433(1221-1229)Online publication date: 15-Jul-2023
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Withington OTokarchuk L(2023)The Right Variety: Improving Expressive Range Analysis with Metric Selection MethodsProceedings of the 18th International Conference on the Foundations of Digital Games10.1145/3582437.3582453(1-11)Online publication date: 12-Apr-2023
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Do AGuo MNeumann ANeumann F(2022)Analysis of Evolutionary Diversity Optimization for Permutation ProblemsACM Transactions on Evolutionary Learning and Optimization10.1145/35619742:3(1-27)Online publication date: 19-Oct-2022
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Sfikas KLiapis AYannakakis G(2022)A General-Purpose Expressive Algorithm for Room-Based EnvironmentsProceedings of the 17th International Conference on the Foundations of Digital Games10.1145/3555858.3563262(1-9)Online publication date: 5-Sep-2022
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