Do Arctic Hares Play Parrondo’s Games?

2019 ◽  
Vol 18 (03) ◽  
pp. 1971001 ◽  
Author(s):  
Kang Hao Cheong ◽  
Jin Ming Koh ◽  
Michael C. Jones
Keyword(s):  
Related Research ◽  
Parrondo’S Paradox ◽  
Game Theoretic ◽  
Brownian Ratchets

We remark on Nelson and Masel’s (2017, 2018) papers [Intercellular competition and the inevitability of multicellular aging, Proc. Natl. Acad. Sci. USA 114 (2017) 12982–12987; Reply to Cheong et al.: Unicellular survival precludes Parrondo’s paradox, Proc. Natl. Acad. Sci. USA 115 (2018) E5260, https://doi.org/10.1073/pnas.1806709115 ], addressing the connection between the published work and the game-theoretic Parrondo’s paradox. The Parrondo’s paradox refers to the phenomenon of achieving winning outcomes by playing two losing games in a random or deterministic order, and is intimately related to flashing Brownian ratchets with applications in physics, engineering and biology. In this paper, we raise important considerations and intricacies pertaining to the paradox, for the benefit of future Parrondo-related research.

Disaster-Related Research and Consultation: Lessons Learned From Two Events

2011 ◽  
Author(s):  
Stephanie W. Campbell ◽  
A. Brooke Walters ◽  
Brandy J. Baczwaski ◽  
Stefan E. Schulenberg
Keyword(s):  
Lessons Learned ◽  
Related Research

Analysis of athletes’ stadium stress source based on improved layered K-means algorithm

2020 ◽  
Vol 39 (4) ◽  
pp. 5905-5914
Author(s):  
Chen Gong
Keyword(s):  
Experimental Data ◽  
Machine Learning Algorithms ◽  
User Preference ◽  
Experimental Comparison ◽  
Actual Situation ◽  
Medical Field ◽  
Pressure Source ◽  
Preference Model ◽  
Related Research ◽  
Analysis System

Most of the research on stressors is in the medical field, and there are few analysis of athletes’ stressors, so it can not provide reference for the analysis of athletes’ stressors. Based on this, this study combines machine learning algorithms to analyze the pressure source of athletes’ stadium. In terms of data collection, it is mainly obtained through questionnaire survey and interview form, and it is used as experimental data after passing the test. In order to improve the performance of the algorithm, this paper combines the known K-Means algorithm with the layering algorithm to form a new improved layered K-Means algorithm. At the same time, this paper analyzes the performance of the improved hierarchical K-Means algorithm through experimental comparison and compares the clustering results. In addition, the analysis system corresponding to the algorithm is constructed based on the actual situation, the algorithm is applied to practice, and the user preference model is constructed. Finally, this article helps athletes find stressors and find ways to reduce stressors through personalized recommendations. The research shows that the algorithm of this study is reliable and has certain practical effects and can provide theoretical reference for subsequent related research.

Stability in the informal value transfer systems: norms of trust or institutions of control?

2017 ◽  
pp. 120-130
Author(s):  
A. Lyasko
Keyword(s):  
Social Control ◽  
Institutional Economics ◽  
Theoretic Model ◽  
Transfer System ◽  
Value Transfer ◽  
Partner Interaction ◽  
Game Theoretic ◽  
Game Theoretic Model ◽  
Informal Value Transfer System

Informal financial operations exist in the shadow of official regulation and cannot be protected by the formal legal instruments, therefore raising concerns about the enforcement of obligations taken by their participants. This paper analyzes two alternative types of auxiliary institutions, which can coordinate expectations of the members of informal value transfer systems, namely attitudes of trust and norms of social control. It offers some preliminary approaches to creating a game-theoretic model of partner interaction in the informal value transfer system. It also sheds light on the perspectives of further studies in this area of institutional economics.

Influential individuals: Approach to modeling

2018 ◽  
pp. 114-131
Author(s):  
O. Yu. Bondarenko
Keyword(s):  
Social Interactions ◽  
Social Status ◽  
Experimental Approach ◽  
Expert Knowledge ◽  
Formal Models ◽  
Leader Influence ◽  
Learning Game ◽  
Game Theoretic ◽  
Asymmetric Interactions ◽  
Influential Individuals

his article explores theoretical and experimental approach to modeling social interactions. Communication and exchange of information with other people affect individual’s behavior in numerous areas. Generally, such influence is exerted by leaders, outstanding individuals who have a higher social status or expert knowledge. Social interactions are analyzed in the models of social learning, game theoretic models, conformity models, etc. However, there is a lack of formal models of asymmetric interactions. Such models could help elicit certain qualities characterizing higher social status and perception of status by other individuals, find the presence of leader influence and analyze its mechanism.

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