Evolutionary dynamics of the traveler's dilemma and minimum-effort coordination games on complex networks

2014 ◽  
Vol 90 (4) ◽  
Author(s):  
Swami Iyer ◽  
Timothy Killingback
2012 ◽  
Vol 303 ◽  
pp. 119-127 ◽  
Author(s):  
Michael L. Manapat ◽  
David G. Rand ◽  
Christina Pawlowitsch ◽  
Martin A. Nowak

2015 ◽  
Vol 34 (65) ◽  
pp. 261-278
Author(s):  
Rodrigo Moro ◽  
Esteban Freidin ◽  
Fernando Tohmé

In some economic games, participants systematically display behavior that departs from the model of payoff maximization, and this is usually attributed to social preferences. In this paper we focus on a new interactive context, a mixed-motive game called "Alternative Traveler's Dilemma" (ATD). In this context, most participants choose strictly dominated strategies. Preliminary studies suggest the reason for such a tendency is that participants have social preferences, usually competitive in nature. The question is whether some cognitive factors should also be included in models that account for the tendency at stake. More specifically, we investigate whether participants neglect payoff maximization, that is, whether they fail to notice that, by pursuing some competitive goal, they are not maximizing their payoffs. We report the results of an experiment that supports this hypothesis. We conclude that in order to explain anomalous behavior in the ATD, and similar games, we need to study the cognitive factors that bound participants' strategies and understanding of the game.


2006 ◽  
Vol 9 (2) ◽  
pp. 129-152 ◽  
Author(s):  
Susana Cabrera ◽  
C. Mónica Capra ◽  
Rosario Gómez

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Yue Zhang ◽  
Yuxuan Li

In this paper, a stochastic SEIR (Susceptible-Exposed-Infected-Removed) epidemic dynamic model with migration and human awareness in complex networks is constructed. The awareness is described by an exponential function. The existence of global positive solutions for the stochastic system in complex networks is obtained. The sufficient conditions are presented for the extinction and persistence of the disease. Under the conditions of disease persistence, the distance between the stochastic solution and the local disease equilibrium of the corresponding deterministic system is estimated in the time sense. Some numerical experiments are also presented to illustrate the theoretical results. Although the awareness introduced in the model cannot affect the extinction of the disease, the scale of the disease will eventually decrease as human awareness increases.


2016 ◽  
Vol 380 (34) ◽  
pp. 2595-2602 ◽  
Author(s):  
Kun Li ◽  
Rui Cong ◽  
Long Wang

2017 ◽  
Vol 130 ◽  
pp. 51-61 ◽  
Author(s):  
Yuying Zhu ◽  
Jianlei Zhang ◽  
Qinglin Sun ◽  
Zengqiang Chen

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