  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.
