Nicolas Bredeche
Environment-driven distributed evolutionary adaptation in a population of autonomous robotic agents
Bredeche, Nicolas; Montanier, Jean Marc; Liu, Wenguo; Winfield, Alan F.T.
Abstract
This article is concerned with a fixed-size population of autonomous agents facing unknown, possibly changing, environments. The motivation is to design an embodied evolutionary algorithm that can cope with the implicit fitness function hidden in the environment so as to provide adaptation in the long run at the level of population. The proposed algorithm, termed mEDEA, is shown to be both efficient in unknown environments and robust to abrupt and unpredicted changes in the environment. The emergence of consensus towards specific behavioural strategies is examined, with a particular focus on algorithmic stability. Finally, a real-world implementation of the algorithm is described with a population of 20 real-world e-puck robots. © 2012 Copyright Taylor and Francis Group, LLC.
Citation
Bredeche, N., Montanier, J. M., Liu, W., & Winfield, A. F. (2012). Environment-driven distributed evolutionary adaptation in a population of autonomous robotic agents. Mathematical and Computer Modelling of Dynamical Systems, 18(1), 101-129. https://doi.org/10.1080/13873954.2011.601425
Journal Article Type | Article |
---|---|
Publication Date | Feb 1, 2012 |
Journal | Mathematical and Computer Modelling of Dynamical Systems |
Print ISSN | 1387-3954 |
Electronic ISSN | 1744-5051 |
Publisher | Taylor & Francis |
Peer Reviewed | Peer Reviewed |
Volume | 18 |
Issue | 1 |
Pages | 101-129 |
DOI | https://doi.org/10.1080/13873954.2011.601425 |
Keywords | evolutionary robotics, artificial life, open-ended evolution, swarm intelligence |
Public URL | https://uwe-repository.worktribe.com/output/960286 |
Publisher URL | http://dx.doi.org/10.1080/13873954.2011.601425 |
You might also like
Ethical assessment of a hospital disinfection robot
(2023)
Journal Article
Ethical risk assessment for social robots: Case studies in smart robot toys
(2022)
Book Chapter
IEEE Standard for Transparency of Autonomous Systems
(2022)
Other
Morpho-evolution with learning using a controller archive as an inheritance mechanism
(2022)
Journal Article
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.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 © 2024
Advanced Search