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BEP-3s-sp

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 07 Oct 2022 English Publisher:Zenodo
Authors: Izquierdo, Luis R.; Izquierdo, Segismundo S.;
Code repository: https://github.com/luis-r-izquierdo/bep-3s-sp/tree/v1.0.1

doi: 10.5281/zenodo.7158504 , 10.5281/zenodo.7156266 , 10.5281/zenodo.7156265

Abstract

BEP-3s-sp is a Mathematica notebook created to analyze Best Experienced Payoff (BEP) dynamics in 3 strategy games with several players. You can use it with the free Wolfram Mathematica Player, or with Mathematica. This software was used to create several figures in the paper titled "Strategy sets closed under payoff sampling", published in 2023 in Games and Economic Behavior by Segismundo S. Izquierdo & Luis R. Izquierdo. doi: 10.1016/j.geb.2022.12.006.

Financial support from the Spanish State Research Agency (PID2020-118906GB-I00/AEI/10.13039/501100011033), from the Spanish Ministry of Science, Innovation and Universities, and from the Fulbright Program (PRX19/00113, PRX21/00295), is gratefully acknowledged.

Related Organizations
Keywords

Best Experienced Payoff, Procedural rationality, Payoff sampling dynamics, Mathematica, Closed under payoff sampling, Evolutionary Game Theory

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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