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Cellular automata for real-time generation of infinite cave levels

Authors:

Lawrence Johnson,

Georgios N. Yannakakis,

Julian TogeliusAuthors Info & Claims

PCGames '10: Proceedings of the 2010 Workshop on Procedural Content Generation in Games

Article No.: 10, Pages 1 - 4

https://doi.org/10.1145/1814256.1814266

Published: 18 June 2010 Publication History

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Abstract

This paper presents a reliable and efficient approach to procedurally generating level maps based on the self-organization capabilities of cellular automata (CA). A simple CA-based algorithm is evaluated on an infinite cave game, generating playable and well-designed tunnel-based maps. The algorithm has very low computational cost, permitting realtime content generation, and the proposed map representation provides sufficient flexibility with respect to level design.

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Cited By

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Silva DTorchelsen RAguiar M(2025)Procedural game level generation with GANs: potential, weaknesses, and unresolved challenges in the literatureMultimedia Tools and Applications10.1007/s11042-025-20612-9Online publication date: 18-Jan-2025
https://doi.org/10.1007/s11042-025-20612-9
Fernandes PMartinho CPrada R(2025)Art and Animation: Procedural Content Generation for Sprite Sheet CreationVideogame Sciences and Arts10.1007/978-3-031-81713-7_15(215-227)Online publication date: 2-Feb-2025
https://doi.org/10.1007/978-3-031-81713-7_15
Nie YZheng SZhuang ZTogelius J(2024)Nested Wave Function Collapse Enables Large-Scale Content GenerationIEEE Transactions on Games10.1109/TG.2024.337763716:4(892-902)Online publication date: Dec-2024
https://doi.org/10.1109/TG.2024.3377637
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Cellular automata for real-time generation of infinite cave levels

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Published In

PCGames '10: Proceedings of the 2010 Workshop on Procedural Content Generation in Games

June 2010

67 pages

ISBN:9781450300230

DOI:10.1145/1814256

Program Chair:
Rafael Bidarra
Delft University of Technology

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 18 June 2010

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FDG '10

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SASDG

FDG '10: International Conference on the Foundations of Digital Games

June 18, 2010

California, Monterey

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Overall Acceptance Rate 13 of 15 submissions, 87%

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Silva DTorchelsen RAguiar M(2025)Procedural game level generation with GANs: potential, weaknesses, and unresolved challenges in the literatureMultimedia Tools and Applications10.1007/s11042-025-20612-9Online publication date: 18-Jan-2025
https://doi.org/10.1007/s11042-025-20612-9
Fernandes PMartinho CPrada R(2025)Art and Animation: Procedural Content Generation for Sprite Sheet CreationVideogame Sciences and Arts10.1007/978-3-031-81713-7_15(215-227)Online publication date: 2-Feb-2025
https://doi.org/10.1007/978-3-031-81713-7_15
Nie YZheng SZhuang ZTogelius J(2024)Nested Wave Function Collapse Enables Large-Scale Content GenerationIEEE Transactions on Games10.1109/TG.2024.337763716:4(892-902)Online publication date: Dec-2024
https://doi.org/10.1109/TG.2024.3377637
Govender KIngram BRanchod P(2024)Analysing the effect of latent space mutation strategies for PCGML2024 IEEE Conference on Games (CoG)10.1109/CoG60054.2024.10645585(1-8)Online publication date: 5-Aug-2024
https://doi.org/10.1109/CoG60054.2024.10645585
Atoniuk I(2024)Procedural generation of cave-like tiles with cellular automata and Blender Geometry Nodes2024 25th International Conference on Computational Problems of Electrical Engineering (CPEE)10.1109/CPEE64152.2024.10720415(1-4)Online publication date: 10-Sep-2024
https://doi.org/10.1109/CPEE64152.2024.10720415
Nakarmi SLeiding JLee KDaphalapurkar N(2024)Predicting non-linear stress–strain response of mesostructured cellular materials using supervised autoencoderComputer Methods in Applied Mechanics and Engineering10.1016/j.cma.2024.117372432(117372)Online publication date: Dec-2024
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Mégane JMedvet ELourenço NMachado P(2024)Grammar-Based Evolution of PolyominoesGenetic Programming10.1007/978-3-031-56957-9_4(56-72)Online publication date: 28-Mar-2024
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Antoniuk I(2023)Generating layout for complex cave-like levels with schematic maps and Cellular AutomataMachine Graphics and Vision10.22630/MGV.2023.32.2.332:2(45-65)Online publication date: 11-Dec-2023
https://doi.org/10.22630/MGV.2023.32.2.3
E Silva DTorchelsen RDe Aguiar M(2023)How to improve the quality of GAN-based map generatorsProceedings of the 22nd Brazilian Symposium on Games and Digital Entertainment10.1145/3631085.3631324(106-113)Online publication date: 6-Nov-2023
https://dl.acm.org/doi/10.1145/3631085.3631324
Chow SChang DHollinger G(2023)Parallelized Control-Aware Motion Planning With Learned Controller ProxiesIEEE Robotics and Automation Letters10.1109/LRA.2023.32489008:4(2237-2244)Online publication date: Apr-2023
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Real-Time Language Recognition by Alternating Cellular Automata

Real-time language recognition by one-dimensional cellular automata

Variable automata over infinite alphabets

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