1 citations · 1 across the 3 of their papers we have counts for
4 papers
Limits of Lamarckian Evolution Under Pressure of Morphological Novelty
Jed R Muff, Karine Miras, A. E. Eiben
Lamarckian inheritance has been shown to be a powerful accelerator in systems where the joint evolution of robot morphologies and controllers is enhanced with individual learning.…
Emergent Heterogeneous Swarm Control Through Hebbian Learning
Fuda van Diggelen, Tugay Alperen Karagüzel, Andres Garcia Rincon +3
In this paper, we introduce Hebbian learning as a novel method for swarm robotics, enabling the automatic emergence of heterogeneity. Hebbian learning presents a biologically inspi…
Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights
Jed Muff, Keiichi Ito, Elijah H. W. Ang +2
Evolution and learning have historically been interrelated topics, and their interplay is attracting increased interest lately. The emerging new factor in this trend is morphologic…
Lamarckian Inheritance Improves Robot Evolution in Dynamic Environments
Jie Luo, Karine Miras, Carlo Longhi +2
This study explores the integration of Lamarckian system into evolutionary robotics (ER), comparing it with the traditional Darwinian model across various environments. By adopting…