Evolutionary ultimatum game on complex networks under incomplete information

Xianyu, Bo; Jin, Yang

doi:10.1016/j.physa.2009.11.026

Cited by 17 publications

(5 citation statements)

References 27 publications

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“…Different from1420, we here assume that a pair of connected individuals just play the ultimatum game once in one generation. A natural question arises: who shall be the proposer?…”

Section: Methodsmentioning

confidence: 99%

“…Mounting effort has been devoted to probe the origins of this behavior23457891011121314151617181920212223. In one pioneering work, two types of the game structure were designed to study the ultimatum bargaining behavior2.…”

mentioning

confidence: 99%

“…Empathy can also drive the population to a state in which players demand and offer a fair share of the money162728. Apart from the well-mixed culture16262728, population structure was also found to play a key role in the evolution of altruistic behavior101112131415161718192021222329. In these spatial games, population structures are characterized by some specific networks.…”

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confidence: 99%

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Adaptive role switching promotes fairness in networked ultimatum game

Zhang

et al. 2013

Sci Rep

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In recent years, mechanisms favoring fair split in the ultimatum game have attracted growing interests because of its practical implications for international bargains. In this game, two players are randomly assigned two different roles respectively to split an offer: the proposer suggests how to split and the responder decides whether or not to accept it. Only when both agree is the offer successfully split; otherwise both get nothing. It is of importance and interest to break the symmetry in role assignment especially when the game is repeatedly played in a heterogeneous population. Here we consider an adaptive role assignment: whenever the split fails, the two players switch their roles probabilistically. The results show that this simple feedback mechanism proves much more effective at promoting fairness than other alternatives (where, for example, the role assignment is based on the number of neighbors).

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“…Different from1420, we here assume that a pair of connected individuals just play the ultimatum game once in one generation. A natural question arises: who shall be the proposer?…”

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Adaptive role switching promotes fairness in networked ultimatum game

Zhang

et al. 2013

Sci Rep

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“…scale-free Barabasi-Albert networks [7], Watts-Strogatz small-world networks [8], and other complex networks with special properties [9][10][11][12][13]. Beyond the PD game, some other evolutionary game models on complex networks have also been researched [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Memory-based evolutionary game on small-world network with tunable heterogeneity

Deng

Liu

Chen

2010

Physica A: Statistical Mechanics and its Applications

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“…But in a spatial setting, much fairer outcomes evolve. Furthermore, more detailed analysis of the effect of the topology on the spatial ultimatum game have been made [16][17][18]. Kuperman and Gusman observed that both the increase of the neighborhood size and the increase of degree of disorder have a similar effect, leading a population of players towards responses with increasing levels of "rationality" [16].…”

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confidence: 99%

The coevolutionary ultimatum game

Gao

Zhi

et al. 2011

EPL

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We develop a minimal model to explore coevolutionary dynamics on spatial ultimatum game. Individuals are endowed with the capacity to adjust both their strategy and their social ties. Under strategy dynamics, individuals preferentially imitate the strategy of more successful neighbors. Meanwhile, the egoists, whose offers do not satisfy the partners, run the risk of being dismissed. We find that individuals make fairer offers when they are allowed to switch adverse partnerships. Remarkably, the promotion of fairness by partner rewiring is offset in a certain extent by the emergence of isolated individuals. We also investigate the influence of the average degree on the evolution of fairness under our coevolutionary rules. It is found that a smaller average degree leads to a fairer society under the condition of low partner rewiring frequency. However, if partner rewiring frequency is high, a dense network where isolated individuals are not apt to emerge, is favorable for the establishment of fairness.

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Evolutionary ultimatum game on complex networks under incomplete information

Cited by 17 publications

References 27 publications

Adaptive role switching promotes fairness in networked ultimatum game

Adaptive role switching promotes fairness in networked ultimatum game

Memory-based evolutionary game on small-world network with tunable heterogeneity

The coevolutionary ultimatum game

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