NDLI: Effects of migration in the spatial ultimatum game

Content Provider	IEEE Xplore Digital Library
Author	Wang Baokui Chen Xiaojie Yu Junyan Wang Long
Copyright Year	2015
Description	Author affiliation: Unit No. 92060, PLA, Dalian, China (Wang Baokui) \|\| Sch. of Math. Sci., Univ. of Electron. Sci. & Technol. of China, Chengdu, China (Chen Xiaojie; Yu Junyan) \|\| Center for Syst. & Control, Peking Univ., Beijing, China (Wang Long)
Abstract	We develop a simple yet effective model to study the effects of migration on the evolution of fairness in the spatial ultimatum game in dependence on the population density. The evolution of fairness is first studied with different population densities whenever migration is absent. We find that sparsity may not favor the evolution of fairness in the population except a very small specific region of the population density. Then, we endow the population with the capability of migration where dissatisfied individuals tend to move away and search for new partners to interact. We find that, in sharp contrast with the population without migration, the evolution of fairness is influenced fundamentally. Remarkably, there exists a certain low population density maximally promoting the evolution of fairness as well as a certain high population density maximally inhibiting the evolution of fairness. Surprisingly, the variations of both average offer and acceptance level of the population with population densities are analogous to the sinusoidal functions, which present the novel “sine-like” phenomena. In addition, we investigate the effect of noise on the evolution of fairness as a function of the population density. Simulation results evidence that there also exist similar “sine-like” phenomena for different noise effects. Our work may pave the way for understanding the role of migration on the evolution of fairness in the spatial ultimatum game.
Starting Page	1274
Ending Page	1479
File Size	278509
Page Count	206
File Format	PDF
ISBN	9789881563897
ISSN	19341768
DOI	10.1109/ChiCC.2015.7259817
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Technical Committee on Control Theory, Chinese Association of Automation
Subject Keyword	Evolution (biology) Simulation Sociology Noise Lattices Migration Ultimatum Game Games Statistics Evolutionary Game Theory Complex Network
Content Type	Text
Resource Type	Article

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