DIFFERENCE IN PROCEDURAL CONTENT GENERATION OPTIMIZATION FOR 2D AND 3D GAMES

Ihor Tovstochub; Olha Zinchenko

doi:10.36074/logos-24.05.2024.040

Computer and Software engineering

May 24, 2024; Zurich, Switzerland: VI International Scientific and Practical Conference «GRUNDLAGEN DER MODERNEN WISSENSCHAFTLICHEN FORSCHUNG»

DIFFERENCE IN PROCEDURAL CONTENT GENERATION OPTIMIZATION FOR 2D AND 3D GAMES

Ihor Tovstochub ⁺⁻
Olha Zinchenko ⁺⁻

DOI: https://doi.org/10.36074/logos-24.05.2024.040
Published: 07.06.2024

Abstract

The procedural content generation (PCG) is a new way to create dynamic and evolving video game experiences. By leveraging algorithms to generate game content on the fly, developers can create vast, engaging worlds that offer players a sense of discovery and novelty with each playthrough. However, the optimization challenges and considerations for PCG systems vary significantly between two-dimensional (2D) and three-dimensional (3D) game environments, each presenting unique complexities and technical hurdles.

References

Procedural content generation for games / M. Hendrikx et al. ACM Transactions on Multimedia Computing, Communications, and Applications. 2013. Vol. 9, no. 1. P. 1–22. URL: https://doi.org/10.1145/2422956.2422957.
Shaker N., Togelius J., Nelson M. J. Procedural Content Generation in Games. Cham : Springer International Publishing, 2016. URL: https://doi.org/10.1007/978-3-319-42716-4.
Search-Based Procedural Content Generation: A Taxonomy and Survey / J. Togelius et al. IEEE Transactions on Computational Intelligence and AI in Games. 2011. Vol. 3, no. 3. P. 172–186. URL: https://doi.org/10.1109/tciaig.2011.2148116.
A Survey on Procedural Modelling for Virtual Worlds / R. M. Smelik et al. Computer Graphics Forum. 2014. Vol. 33, no. 6. P. 31–50. URL: https://doi.org/10.1111/cgf.12276.
The State of the Art in Interactive Global Illumination / T. Ritschel et al. Computer Graphics Forum. 2012. Vol. 31, no. 1. P. 160–188. URL: https://doi.org/10.1111/j.1467-8659.2012.02093.x.

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How to Cite

Tovstochub , I., & Zinchenko , O. (2024). DIFFERENCE IN PROCEDURAL CONTENT GENERATION OPTIMIZATION FOR 2D AND 3D GAMES. Collection of Scientific Papers «ΛΌГOΣ», (May 24, 2024; Zurich, Switzerland), 177–180. https://doi.org/10.36074/logos-24.05.2024.040

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[1] Procedural content generation for games / M. Hendrikx et al. ACM Transactions on Multimedia Computing, Communications, and Applications. 2013. Vol. 9, no. 1. P. 1–22. URL: https://doi.org/10.1145/2422956.2422957.

[2] Shaker N., Togelius J., Nelson M. J. Procedural Content Generation in Games. Cham : Springer International Publishing, 2016. URL: https://doi.org/10.1007/978-3-319-42716-4.

[3] Search-Based Procedural Content Generation: A Taxonomy and Survey / J. Togelius et al. IEEE Transactions on Computational Intelligence and AI in Games. 2011. Vol. 3, no. 3. P. 172–186. URL: https://doi.org/10.1109/tciaig.2011.2148116.

[4] A Survey on Procedural Modelling for Virtual Worlds / R. M. Smelik et al. Computer Graphics Forum. 2014. Vol. 33, no. 6. P. 31–50. URL: https://doi.org/10.1111/cgf.12276.

[5] The State of the Art in Interactive Global Illumination / T. Ritschel et al. Computer Graphics Forum. 2012. Vol. 31, no. 1. P. 160–188. URL: https://doi.org/10.1111/j.1467-8659.2012.02093.x.