Polyethism in a colony of artificial ants
Artificial Intelligence
2011-09-06 v1 Adaptation and Self-Organizing Systems
Populations and Evolution
Abstract
We explore self-organizing strategies for role assignment in a foraging task carried out by a colony of artificial agents. Our strategies are inspired by various mechanisms of division of labor (polyethism) observed in eusocial insects like ants, termites, or bees. Specifically we instantiate models of caste polyethism and age or temporal polyethism to evaluated the benefits to foraging in a dynamic environment. Our experiment is directly related to the exploration/exploitation trade of in machine learning.
Keywords
Cite
@article{arxiv.1104.3152,
title = {Polyethism in a colony of artificial ants},
author = {Chris Marriott and Carlos Gershenson},
journal= {arXiv preprint arXiv:1104.3152},
year = {2011}
}
Comments
8 pages, 4 figures, submitted to ECAL 11