research-article

Incentive Scoring Mechanism Design in Battle Royale Games

Authors:

Dong HaoAuthors Info & Claims

ICACS '21: Proceedings of the 5th International Conference on Algorithms, Computing and Systems

Pages 13 - 19

https://doi.org/10.1145/3490700.3490703

Published: 05 January 2022 Publication History

Abstract

Battle Royale games are popular among players in recent years. The mainstream Battle Royale games utilize a rank-based scoring mechanism which calculates scores for knockout and for surviving time separately. However, our simulating experiments show that the currently used mechanism has little incentive for the high-skill-level teams, which is unfair and may discourage those teams. Besides, we raise three graph-based mechanisms to overcome this shortcoming while keeping a similar performance in ranking the teams. Experimental results also show that one of the mechanisms we raise can also be used for evaluating the skill of all teams.

References

[1]

Wang, H. and Sun, C. T. 2011. Game reward systems: Gaming experiences and social meanings. In DiGRA conference (Vol. 114). https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.221.4931&rep=rep1&type=pdf

[2]

Shneiderman, B., Plaisant, C., Cohen, M. S., Jacobs, S., Elmqvist, N., and Diakopoulos, N. 2016. Designing the user interface: strategies for effective human-computer interaction. Pearson.

[3]

Lee, C.-I, Chen, I-P., Hsieh, C.-M., and Liao, C.-N. 2017. Design Aspects of Scoring Systems in Game. Art and Design Review, 5, 26-43. https://doi.org/10.4236/adr.2017.51003

[4]

Crawford, C. 1984. The art of computer game design. http://www.stonetronix.com/gamedesign/art_of_computer_game_design.pdf

[5]

Choi, G., and Kim, M. 2018. Battle Royale game: In search of a new game genre. International Journal of Culture Technology (IJCT), 2(2), 5. https://core.ac.uk/download/pdf/162021462.pdf#page=6

[6]

Rosenbusch, H., Röttger, J., and Rosenbusch, D. 2020. Would Chuck Norris certainly win the Hunger Games? Simulating the result reliability of Battle Royale games through agent-based models. Simulation & Gaming, 51(4), 461-476. https://doi.org/10.1177/1046878120914336

Digital Library

[7]

Takami, K., Taguchi, M., & Giffen, K. 2003. Battle royale. Tokyopop.

[8]

Dawkins, K. 2000. Battle royale of the 21st century. Seedling, 17(1), 2-8.

[9]

Rahkar Farshi, T. 2020. Battle royale optimization algorithm. Neural Computing and Applications, 1-19. https://doi.org/10.1007/s00521-020-05004-4

Digital Library

[10]

Lames, M. and McGarry, T. 2007. On the search for reliable performance indicators in game sports. International Journal of Performance Analysis in Sport, 7(1), 62-79. https://doi.org/10.1080/24748668.2007.11868388

[11]

McGarry, T. 2009. Applied and theoretical perspectives of performance analysis in sport: Scientific issues and challenges. International Journal of Performance Analysis in Sport, 9:1, 128-140, https://doi.org/10.1080/24748668.2009.11868469

[12]

Brin, S. and Page, L. 1998. The anatomy of a large-scale hypertextual web search engine. Computer networks and ISDN systems, 30(1-7), 107-117. https://doi.org/10.1016/S0169-7552(98)00110-X

Digital Library

[13]

Page, L., Brin, S., Motwani, R., & Winograd, T. 1999. The PageRank citation ranking: Bringing order to the web. Stanford InfoLab. http://ilpubs.stanford.edu:8090/422/

[14]

Koschützki D., Lehmann K.A., Peeters L., Richter S., Tenfelde-Podehl D. and Zlotowski O. 2005. Centrality Indices. In: Brandes U., Erlebach T. (eds) Network Analysis. Lecture Notes in Computer Science, vol 3418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31955-9_3

[15]

Gleich, D. F. (2015). PageRank beyond the Web. SIAM REVIEW, 57(3), 321-363. https://doi.org/10.1137/140976649

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Cited By

Eyniyev RSadikh-Zada LDadashova GIsmayilova SHajiyeva N(2023)Using Multivariate Normal Distribution and Poisson Distribution for Spawn Items in Battle Royale Games2023 IEEE 17th International Conference on Application of Information and Communication Technologies (AICT)10.1109/AICT59525.2023.10313181(1-6)Online publication date: 18-Oct-2023
https://doi.org/10.1109/AICT59525.2023.10313181

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ICACS '21: Proceedings of the 5th International Conference on Algorithms, Computing and Systems

September 2021

139 pages

ISBN:9781450385084

DOI:10.1145/3490700

Copyright © 2021 ACM.

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: 05 January 2022

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ICACS '21

ICACS '21: 2021 The 5th International Conference on Algorithms, Computing and Systems

September 24 - 26, 2021

Xi'an, China

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Cited By

Eyniyev RSadikh-Zada LDadashova GIsmayilova SHajiyeva N(2023)Using Multivariate Normal Distribution and Poisson Distribution for Spawn Items in Battle Royale Games2023 IEEE 17th International Conference on Application of Information and Communication Technologies (AICT)10.1109/AICT59525.2023.10313181(1-6)Online publication date: 18-Oct-2023
https://doi.org/10.1109/AICT59525.2023.10313181

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