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Imitation, network size, and efficiency

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Imitation, network size, and efficiency. / Alós-Ferrer, Carlos; Buckenmaier, Johannes; Farolfi, Federica.
In: Network Science, Vol. 9, No. 1, 1, 04.03.2021, p. 123-133.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Alós-Ferrer, C, Buckenmaier, J & Farolfi, F 2021, 'Imitation, network size, and efficiency', Network Science, vol. 9, no. 1, 1, pp. 123-133. https://doi.org/10.1017/nws.2020.43

APA

Alós-Ferrer, C., Buckenmaier, J., & Farolfi, F. (2021). Imitation, network size, and efficiency. Network Science, 9(1), 123-133. Article 1. https://doi.org/10.1017/nws.2020.43

Vancouver

Alós-Ferrer C, Buckenmaier J, Farolfi F. Imitation, network size, and efficiency. Network Science. 2021 Mar 4;9(1):123-133. 1. Epub 2020 Dec 4. doi: 10.1017/nws.2020.43

Author

Alós-Ferrer, Carlos ; Buckenmaier, Johannes ; Farolfi, Federica. / Imitation, network size, and efficiency. In: Network Science. 2021 ; Vol. 9, No. 1. pp. 123-133.

Bibtex

@article{a96c44085c5748a1aee0ad7e3780be62,
title = "Imitation, network size, and efficiency",
abstract = "A number of theoretical results have provided sufficient conditions for the selection of payoff-efficient equilibria in games played on networks when agents imitate successful neighbors and make occasional mistakes (stochastic stability). However, those results only guarantee full convergence in the long-run, which might be too restrictive in reality. Here, we employ a more gradual approach relying on agent-based simulations avoiding the double limit underlying these analytical results. We focus on the circular-city model, for which a sufficient condition on the population size relative to the neighborhood size was identified by Al{\'o}s-Ferrer & Weidenholzer [(2006) Economics Letters, 93, 163-168]. Using more than 100,000 agent-based simulations, we find that selection of the efficient equilibrium prevails also for a large set of parameters violating the previously identified condition. Interestingly, the extent to which efficiency obtains decreases gradually as one moves away from the boundary of this condition.",
keywords = "agent-based models, imitation, networks, pareto efficiency, risk dominance, stochastic stability",
author = "Carlos Al{\'o}s-Ferrer and Johannes Buckenmaier and Federica Farolfi",
year = "2021",
month = mar,
day = "4",
doi = "10.1017/nws.2020.43",
language = "English",
volume = "9",
pages = "123--133",
journal = "Network Science",
number = "1",

}

RIS

TY - JOUR

T1 - Imitation, network size, and efficiency

AU - Alós-Ferrer, Carlos

AU - Buckenmaier, Johannes

AU - Farolfi, Federica

PY - 2021/3/4

Y1 - 2021/3/4

N2 - A number of theoretical results have provided sufficient conditions for the selection of payoff-efficient equilibria in games played on networks when agents imitate successful neighbors and make occasional mistakes (stochastic stability). However, those results only guarantee full convergence in the long-run, which might be too restrictive in reality. Here, we employ a more gradual approach relying on agent-based simulations avoiding the double limit underlying these analytical results. We focus on the circular-city model, for which a sufficient condition on the population size relative to the neighborhood size was identified by Alós-Ferrer & Weidenholzer [(2006) Economics Letters, 93, 163-168]. Using more than 100,000 agent-based simulations, we find that selection of the efficient equilibrium prevails also for a large set of parameters violating the previously identified condition. Interestingly, the extent to which efficiency obtains decreases gradually as one moves away from the boundary of this condition.

AB - A number of theoretical results have provided sufficient conditions for the selection of payoff-efficient equilibria in games played on networks when agents imitate successful neighbors and make occasional mistakes (stochastic stability). However, those results only guarantee full convergence in the long-run, which might be too restrictive in reality. Here, we employ a more gradual approach relying on agent-based simulations avoiding the double limit underlying these analytical results. We focus on the circular-city model, for which a sufficient condition on the population size relative to the neighborhood size was identified by Alós-Ferrer & Weidenholzer [(2006) Economics Letters, 93, 163-168]. Using more than 100,000 agent-based simulations, we find that selection of the efficient equilibrium prevails also for a large set of parameters violating the previously identified condition. Interestingly, the extent to which efficiency obtains decreases gradually as one moves away from the boundary of this condition.

KW - agent-based models

KW - imitation

KW - networks

KW - pareto efficiency

KW - risk dominance

KW - stochastic stability

U2 - 10.1017/nws.2020.43

DO - 10.1017/nws.2020.43

M3 - Journal article

VL - 9

SP - 123

EP - 133

JO - Network Science

JF - Network Science

IS - 1

M1 - 1

ER -