English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  A simple game and its dynamical richness for modeling synchronization in firefly-like oscillators

Ramirez Avila, G. M., Depickère, S., Deneubourg, J. L., Kurths, J. (2022): A simple game and its dynamical richness for modeling synchronization in firefly-like oscillators. - European Physical Journal - Special Topics, 231, 3, 203-212.
https://doi.org/10.1140/epjs/s11734-021-00397-2

Item is

Files

show Files
hide Files
:
27037oa.pdf (Publisher version), 2MB
Name:
27037oa.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show

Creators

show
hide
 Creators:
Ramirez Avila, Gonzalo M.1, Author              
Depickère, S.2, Author
Deneubourg, J. L.2, Author
Kurths, Jürgen1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: Synchronization in pulse-coupled oscillators has been broadly studied under different perspectives. We present a game with simple rules to describe synchronization in such kinds of oscillators. This game, intended to describe easily how fireflies synchronize, constitutes a discrete model different from those based on maps, ordinary differential equations, or multi-agent systems. Our results on complete synchronization depend strongly on the used rules that we compare statistically. We also calculate the basins of attraction to quantify the importance of the initial conditions in reaching or not synchronization and the time intervals required for that.

Details

show
hide
Language(s): eng - English
 Dates: 2022-02-152022-04
 Publication Status: Finally published
 Pages: 10
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1140/epjs/s11734-021-00397-2
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Model / method: Game Theory
Working Group: Network- and machine-learning-based prediction of extreme events
OATYPE: Hybrid - DEAL Springer Nature
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: European Physical Journal - Special Topics
Source Genre: Journal, SCI, Scopus, p3
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 231 (3) Sequence Number: - Start / End Page: 203 - 212 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/150617
Publisher: Springer