Application of Pseudo-random Algorithm in Card Drawing Games

Jinghan Huang

doi:10.54254/2753-8818/2025.22936

Research Article

Open access

Published on 15 May 2025

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Huang,J. (2025). Application of Pseudo-random Algorithm in Card Drawing Games. Theoretical and Natural Science,106,40-44.

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Application of Pseudo-random Algorithm in Card Drawing Games

Jinghan Huang *^,1,

¹ Wakeland High School, Frisco, TX, US, 75033

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-8818/2025.22936

Abstract

Anime-style gacha games with card drawing mechanism as the core have shown great competitiveness in today's market, and pseudo-random algorithm is the core component of this card drawing mechanism. This paper uses data analysis research methods to mainly explore the composition of pseudo-random algorithms and their application in card drawing games. It aims to study the application effect of pseudo-random algorithms in card drawing games and their possible application areas. By analyzing the card drawing data published by game companies, explore the players' acceptance and preference for this algorithm, and then propose optimization solutions or further applications. Explore its application in a wider range of fields through analysis. This paper found that pseudo-random algorithms have played a positive role in the development and operation of card drawing games. On the premise of ensuring the fun of the random card drawing mechanism, it avoids the occurrence of extreme samples in a diversified way, and indeed guarantees the gaming experience of the vast majority of players.

Keywords

Pseudo-random algorithm, Gacha game, Dynamic Probability, Bottom-line guarantee mechanism

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References

[1]. W. E. Thomson, A Modified Congruence Method of Generating Pseudo-random Numbers, The Computer Journal, Volume 1, Issue 2, 1958, Page 83, https://doi.org/10.1093/comjnl/1.2.83

[2]. A. Rotenberg. 1960. A New Pseudo-Random Number Generator. J. ACM 7, 1 (Jan. 1960), 75–77. https://doi.org/10.1145/321008.321019

[3]. Lehmer, D.H. (1951) Mathematical Methods in Large-Scale Computing Units. The Annals of' the Computation Laboratory of Harvard University, 26, 141-146.

[4]. Knuth, D. E. (1997). The art of computer programming (3rd ed.). Addison Wesley.

[5]. Steele, Guy & Vigna, Sebastiano. (2021). Computationally easy, spectrally good multipliers for congruential pseudorandom number generators. Software: Practice and Experience. 52. 10.1002/spe.3030.

[6]. Matsumoto, M., & Nishimura, T. (1998). Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator. ACM Trans. Model. Comput. Simul., 8, 3-30.

Cite this article

Huang,J. (2025). Application of Pseudo-random Algorithm in Card Drawing Games. Theoretical and Natural Science,106,40-44.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 3rd International Conference on Mathematical Physics and Computational Simulation

Conference website: https://2025.confmpcs.org/

ISBN：978-1-80590-079-5(Print) / 978-1-80590-080-1(Online)

Conference date: 27 June 2025

Editor：Anil Fernando

Series: Theoretical and Natural Science

Volume number: Vol.106

ISSN：2753-8818(Print) / 2753-8826(Online)

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