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Simulation of Hobbes' State of Nature Based on Cellular Automata

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DOI: 10.23977/polsr.2024.050115 | Downloads: 1 | Views: 65

Author(s)

Ke Liu 1

Affiliation(s)

1 School of Politics and Public Administration, Xinjiang University, Urumqi, China

Corresponding Author

Ke Liu

ABSTRACT

The theory of the state of nature plays a significant role in Hobbes' political theoretical system. The fundamental characteristics of the state of nature lie in freedom and warfare, where individuals compete and pose threats to each other in the absence of common power constraints. This paper aims to explore the feasibility and utility of simulating Hobbes' state of nature using cellular automata modeling. It analyzes the advantages of cellular automata in simulating the evolution of complex systems and compares the alignments between the characteristics of cellular automata and the state of nature. By abstracting and simplifying the state of nature and conducting simulation experiments, this paper provides insights for studying the dynamic evolution of Hobbes' theory of the state of nature.

KEYWORDS

Hobbes, state of nature, spatial game, cellular automata

CITE THIS PAPER

Ke Liu, Simulation of Hobbes' State of Nature Based on Cellular Automata. Journal of Political Science Research (2024) Vol. 5: 105-112. DOI: http://dx.doi.org/DOI: 10.23977/polsr.2024.050115.

REFERENCES

[1] Hobbes Thomas. Leviathan, or the Matter, Forme, &Power of a Commonwealth Ecclesiastical and Civil. Cambridge: Cambridge University press, 1996.
[2] Jonathan Wolff. An Introduction to Political Philosophy. Oxford: Oxford University Press, 1996.
[3] Xuewei Li, Jinpei Wu, Xueyan Li. Theory of Practical Cellular Automaton. Beijing: Beijing Jiaotong University Press, 2013.
[4] Li Feng, Wang Puqu. The Rise and Development of Computational Politics [J]. Journal of New Humanities and Social Sciences, 2021, 38(02):149-154. 
[5] Chu Erkang. The Basic Logic of the Evolution of Theoretical Paradigm of Computational Politics [J]. Academic Journal of Jinyang, 2021, (04):3-8.
[6] Zhou Jianxin, Liu Minghua, Shen Xiaowei, Wu Jinxiu. Simulation of Cooperative Behavior Evolutionary Based on Signal Transmission in Spatial Game [J]. Computer Integrated Manufacturing Systems, 2021,38(02):149-154.

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