Research on Internet Technological Standard Provision Basing on Evolutionary Games Theory

Author(s):  
Xian-Zhong Gao ◽  
Ming-Sheng He
Author(s):  
Luka Baryshych ◽  
Igor Baklan

The paper is dedicated to the overview of current state of the evolutionary games approach to the building of environments to analyze players behavior. The evolutionary game theory applications differ from the orthodox game theory. Initially, it was used to address problems in evolutionary biology and later was suited for broader range of problems.We will oversee the development of the evolutionary games theory in finance and its applications in behavior analysis in competitive gaming. The paper is focused on replicator dynamics, learning model based on it and its possible application to behavior analysis based on fuzzy algorithms and approaches used in economics to be applied to the new emerging field of cybersports.


2013 ◽  
Vol 734-737 ◽  
pp. 2047-2052
Author(s):  
Ru Guo Fan ◽  
Hong Juan Zhang ◽  
Peng Fei Zhang

Industrial clusters are complex networks formed by numerous agents who continuously imitate, learn from each other and make optimal choice accordingly. The paper uses random learning game and multi-agent system models to construct a Chinese traditional industrial clusters low carbon evolution model and introduce an algorithm based on the network external effect and characteristics of agents adaptive behavior. Then the simulation of low-carbon competition, emergence and evolution was conducted, which produced some valuable conclusions.


2017 ◽  
Author(s):  
Artem Kaznatcheev

Evolutionary game theory (EGT) was born from economic game theory through a series of analogies. Given this heuristic genealogy, a number of central objects of the theory (like strategies, players, and games) have not been carefully defined or interpreted. A specific interpretation of these terms becomes important as EGT sees more applications to understanding experiments in microscopic systems typical of oncology and microbiology. In this essay, I provide two interpretations of the central objects of games theory: one that leads to reductive games and the other to effective games. These interpretation are based on the difference between views of fitness as a property of individuals versus fitness as a summary statistic of (sub)populations. Reductive games are typical of theoretical work like agent-based models. But effective games usually correspond more closely to experimental work. However, confusing reductive games for effective games or vice-versa can lead to divergent results, especially in spatially structured populations. As such, I propose that we treat this distinction carefully in future work at the interface of EGT and experiment.


2013 ◽  
Vol 448-453 ◽  
pp. 4461-4464
Author(s):  
Ru Guo Fan ◽  
Hong Juan Zhang

The low-carbon evolution of traditional industry cluster is the key to a low-carbon economy, and also a frontier of industry cluster theory research. The paper uses evolutionary game theory to construct a low-carbon evolutionary model of Chinese traditional industrial clusters, which considers uncertain factors such as political, economic, cultural, etc. Through the analysis of the cluster low-carbon evolutionary paths and stable equilibrium strategies, the model reflects the inherent law of clusters low-carbon evolution. Finally, the paper gives advices to promote industrial cluster agents to adopt the low-carbon cooperation strategy.


1983 ◽  
Vol 28 (6) ◽  
pp. 421-422
Author(s):  
John C. Fentress
Keyword(s):  

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