Applied Research Analysis of Game Theory and Markov chain

Authors

  • Chong Niu
  • Hangxuan Zhou

DOI:

https://doi.org/10.54097/hset.v47i.8173

Keywords:

Probability theory, game theory, Markov chain.

Abstract

Since probability theory was put forward, it has been applied in all aspects of life and many science and technology. A good use of probability thinking can make a more rational, wise, and correct judgment and improve the probability of winning. Among them, game theory and Markov chain are the most influential. They have become one of the important theoretical foundations of various industries and fields, and gradually mathematize various fields, playing a vital role in their applied research field, promoting the development of society and science and technology. The prisoner's dilemma model of game theory was analyzed in various situations and explained how to apply it to economics, how to affect the social economy, and how to solve some social economic problems. By analyzing and utilizing the integrability, constant return, periodicity, and ergodicity of Markov chain, it is applied to signal transmission, traffic management, and bad debts of banks. Markov chain is used to model various transmission processes to facilitate the application field.

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References

Wang Lancuo." The Development and Application of Probability Theory." Journal of Qinghai University for Nationalities: Social Sciences Edition 3(1996):3.

Guo Lei." A Brief Introduction to Game Theory." Shandong Economy 6(1999):3.

Wang Jinbing." Development History and Basic Content of Game Theory." Times Economic and Trade: Late 06X(2007):2.

Hu Zelin." On Individual Rationality and Collective Rationality -- A Question on the Conclusion of Prisoner's Dilemma in Game Theory and Information Economics." Modern Trade and Industry 23.12(2011):2.

Song Can. The Economic Significance of "Prisoner's Dilemma". Chinese and Foreign Entrepreneurs 6Z(2013):1.

Liu Xin. The Economic Significance of "Prisoner's Dilemma". Modern Economic Information 05X(2012):1.

[9] Hao Hai, Zhang Shuangde. Markov model and its application. Journal of Civil Aviation University of China, 2003, 021(0z1):11-13.

Gagniuc, P.A.. Markov Chains: From Theory to Implementation and Experimentation: John Wiley & Sons, 2017: pp.1-32

Brémaud, P.. Markov chains: Gibbs fields, Monte Carlo simulation, and queues (Vol. 31) : Springer Science & Business Media, 1999: Chapter 2-4, pp.53-156

Serfozo, R.. Basics of applied stochastic processes. : Springer Science & Business Media., 2009: pp.1-99, 241-242

Gao, Hongwei, and Qiang Zhang. Recent Advances in Game Theory in China and Prospects. 27 Dec. 2017, pp. 1–22. Accessed 11 Jan. 2023.

Li Ziling. A study based on the history and current status of Markov chains[J]. Business Economics,2017,0(3):132-133

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Published

11-05-2023

How to Cite

Niu, C., & Zhou, H. (2023). Applied Research Analysis of Game Theory and Markov chain. Highlights in Science, Engineering and Technology, 47, 116-121. https://doi.org/10.54097/hset.v47i.8173