Research Data Leeds Repository

Ultimatum game steady-state and transient evolution data

Evans, RML (2018) Ultimatum game steady-state and transient evolution data. University of Leeds. [Dataset] https://doi.org/10.5518/458

Dataset description

Simulation data from a spatial model of agents evolving (reproducing with mutation) on a lattice while playing the Ultimatum Game (UG) in random order with nearest neighbours. Details of the model are given in "Pay-off scarcity causes evolution of risk-aversion and extreme altruism", R M L Evans, Scientific Reports, Volume 8, Article number: 16074 (2018) http://doi.org/10.1038/s41598-018-34384-w. The csv files contain data that support the findings of that publication, including the data presented in Figs. 1, 3, 4, 8 and 9.

Keywords: evolution, simulation, game theory, cellular automata
Subjects: G000 - Mathematical sciences > G100 - Mathematics > G120 - Applied mathematics
G000 - Mathematical sciences > G100 - Mathematics > G150 - Mathematical modelling
C000 - Biological sciences > C100 - Biology > C180 - Ecology > C182 - Evolution
Divisions: Faculty of Mathematics and Physical Sciences > School of Mathematics > Department of Applied Mathematics
Related resources:
LocationType
https://github.com/RMLEvans/UltimatumGameSoftware
http://doi.org/10.1038/s41598-018-34384-wPublication
http://eprints.whiterose.ac.uk/137099/Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 30 Oct 2018 15:22
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/444

Files

Documentation

Data

Research Data Leeds Repository is powered by EPrints
Copyright © 2021 University of Leeds