no code implementations • 28 Mar 2024 • Jie Luo, Karine Miras, Carlo Longhi, Oliver Weissl, Agoston E. Eiben
This study explores the integration of Lamarckian system into evolutionary robotics (ER), comparing it with the traditional Darwinian model across various environments.
no code implementations • 25 Sep 2023 • Jie Luo, Jakub Tomczak, Karine Miras, Agoston E. Eiben
The main question this paper addresses is: What combination of a robot controller and a learning method should be used, if the morphology of the learning robot is not known in advance?
no code implementations • 22 Sep 2023 • Jie Luo, Karine Miras, Jakub Tomczak, Agoston E. Eiben
We research this issue through simulations with an evolutionary robot framework where morphologies (bodies) and controllers (brains) of robots are evolvable and robots also can improve their controllers through learning during their lifetime.
no code implementations • 18 Nov 2021 • Jie Luo, Aart Stuurman, Jakub M. Tomczak, Jacintha Ellers, Agoston E. Eiben
Simultaneously evolving morphologies (bodies) and controllers (brains) of robots can cause a mismatch between the inherited body and brain in the offspring.
1 code implementation • 17 Jul 2021 • Jie Luo, Daan Zeeuwe, Agoston E. Eiben
The second approach is evolution plus learning which means the brain of a child is inherited as well, but additionally is developed by a learning algorithm - RevDEknn.
no code implementations • 9 Apr 2021 • Léni K. Le Goff, Edgar Buchanan, Emma Hart, Agoston E. Eiben, Wei Li, Matteo De Carlo, Alan F. Winfield, Matthew F. Hale, Robert Woolley, Mike Angus, Jon Timmis, Andy M. Tyrrell
This causes a potential mismatch between the structure of an inherited controller and the new body.
1 code implementation • 19 Sep 2020 • Ewelina Weglarz-Tomczak, Jakub M. Tomczak, Agoston E. Eiben, Stanley Brul
Models in systems biology are mathematical descriptions of biological processes that are used to answer questions and gain a better understanding of biological phenomena.
1 code implementation • 7 Feb 2020 • Jakub M. Tomczak, Ewelina Weglarz-Tomczak, Agoston E. Eiben
Differential evolution (DE) is a well-known type of evolutionary algorithms (EA).
no code implementations • 17 Jan 2019 • David Howard, Agoston E. Eiben, Danielle Frances Kennedy, Jean-Baptiste Mouret, Philip Valencia, Dave Winkler
Natural lifeforms specialise to their environmental niches across many levels; from low-level features such as DNA and proteins, through to higher-level artefacts including eyes, limbs, and overarching body plans.