Explore Ludi Systems: Game Design and Evaluation based on Evolutionary algorithms

Jiacheng Sun

doi:10.62051/ijcsit.v4n3.33

Authors

Jiacheng Sun

DOI:

https://doi.org/10.62051/ijcsit.v4n3.33

Keywords:

Automated game design, Evolutionary algorithms, Game evaluation, Combinatorial games, Ludemes

Abstract

In today's rapidly developing game industry, the demand for automated game design and evaluation tools is growing. This paper evaluates the formulas and concepts proposed in Cameron Browne and Frederic Maire's "Evolutionary Game Design" and explores their effectiveness and applicability in practical applications. The study focuses on the Ludi system, which uses evolutionary algorithms to generate and evaluate combinatorial games. Key aspects such as the game description language (GDL), the concept of ludemes, and the performance of evolutionary algorithms in game generation are analyzed. Limitations and future research directions are also discussed to provide valuable insights for the field of automated game design.

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References

[1] Browne, C. (2014). Evolutionary game design. ACM SIGEVOlution, 6 (2), 3–16. https://doi.org/10.1145/2597453.2597454

[2] Karia, P., Jain, V., Shah, M., & Rane, S. (2022). Digitization of chess board and Prediction of Next Move. 2022 IEEE 7th International Conference for Convergence in Technology (I2CT). https://doi.org/10.1109/i2ct54291.2022.9825379

[3] M. Stephenson, É. Piette, DJNJ Soemers and C. Browne, "An Overview of the Ludii General Game System," 2019 IEEE Conference on Games (CoG), London, UK, 2019, pp. 1-2, doi: 10.1109/CIG.2019.8847949. keywords: {Games; Grammar; Data science; Knowledge engineering; Software; Indexes; General Game Playing; Artificial Intelligence; Ludii; Ludemes; Board games}

[4] Riel, J., & Monahan, R. (2024). Learning from Ludemes: An inventory of common player actions within tabletop role-playing games (ttrpgs) to inform principled design of game-based learning experiences. International Journal of Role-Playing, (15), 178–210. https://doi.org/10.33063/ijrp.vi15.325

[5] R. Simmons and D. Apfelbaum, "A task description language for robot control," Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190), Victoria, BC, Canada, 1998, pp. 1931-1937 vol.3, doi: 10.1109/IROS.1998.724883. keywords: {Robot control; Robot kinematics; Monitoring; Communication system control; Libraries; Mobile robots; Robot sensing systems; Resource management; Actuators; Switches}

[6] Stephenson, M., Soemers, DJ, Piette, E., & Browne, C. (2021). General game heuristic prediction based on Ludeme Descriptions. 2021 IEEE Conference on Games (CoG). https://doi.org/10.1109/cog52621.2021.9619052

[7] Schlotz, W., Wallot, S., Omigie, D., Masucci, MD, Hoelzmann, SC, & Vessel, EA (2021). The Aesthetic Responsiveness Assessment (area): A screening tool to assess individual differences in responsiveness to art in English and German. Psychology of Aesthetics, Creativity, and the Arts, 15 (4), 682–696. https://doi.org/10.1037/aca0000348

[8] Card, A., Wang, W., Martens, C., & Price, T. (2021). Scaffolding game design: Towards tool support for planning open-ended projects in an introductory game design class. 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). https://doi.org/10.1109/vl/hcc51201.2021.9576209