James Burridge
Delayed response in the Hawk Dove Game
Burridge, James; Yu, Gao; Mao, Yong
Abstract
We consider a group of agents playing the Hawk-Dove game. These agents have a finite memory of past interactions which they use to optimize their play. By both analytical and numerical approaches, we show that an instability occurs at a critical memory length, and we provide its characterization. We show also that when the game is stable, having a long memory is beneficial but that instability, which may be produced by excessively long memory, hands the advantage to those with shorter memories.
Citation
Burridge, J., Yu, G., & Mao, Y. (in press). Delayed response in the Hawk Dove Game. European Physical Journal B: Condensed Matter and Complex Systems, 90(13), https://doi.org/10.1140/epjb/e2016-70471-1
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 18, 2017 |
Online Publication Date | Jan 31, 2017 |
Deposit Date | Feb 8, 2017 |
Publicly Available Date | Feb 8, 2017 |
Journal | European Physical Journal B |
Print ISSN | 1434-6028 |
Electronic ISSN | 1434-6036 |
Publisher | EDP Sciences |
Peer Reviewed | Peer Reviewed |
Volume | 90 |
Issue | 13 |
DOI | https://doi.org/10.1140/epjb/e2016-70471-1 |
Keywords | statistical and nonlinear physics |
Public URL | https://nottingham-repository.worktribe.com/output/838172 |
Publisher URL | http://link.springer.com/article/10.1140%2Fepjb%2Fe2016-70471-1 |
Contract Date | Feb 8, 2017 |
Files
art%3A10.1140%2Fepjb%2Fe2016-70471-1.pdf
(301 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
You might also like
A multi-scale integrated assessment model to support urban sustainability
(2021)
Journal Article
Public transport network optimisation in PTV Visum using selection hyper-heuristics
(2020)
Journal Article
An adaptive scaled network for public transport route optimisation
(2019)
Journal Article
Modelling Urban Housing Stocks for Building Energy Simulation using CityGML EnergyADE
(2019)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search