Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Federica Farolfi

Biographic Data

ID4164049
NAMEFederica Farolfi
GIVEN NAMESFederica
FAMILY NAMEFarolfi
SIGNATUREFAROLFI F
AFFILIATIONSAmsterdam University of Applied Sciences
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2020
H-INDEX0
  • Imitation, network size, and efficiency

    Open Access•Carlos Alós-Ferrer, Johannes Buckenmaier et al.•ARTICLE•Network Science•2020

    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 l…

No prominent works on this page.

  • Imitation, network size, and efficiency

    Open Access•Carlos Alós-Ferrer, Johannes Buckenmaier et al.•ARTICLE•Network Science•2020

    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 l…

Artificial Intelligence (1 work) · Complex Systems and Time Series Analysis (1 work) · Computer Science (1 work) · Convergence (economics (1 work) · Economics (1 work) · Evolutionary Game Theory and Cooperation (1 work) · Focus (optics (1 work) · Game Theory and Applications (1 work) · Imitation (1 work) · Limit (mathematics (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae