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Two-level evolution of foraging agent communities Manuel Alfonseca *, Juan de Lara

Summary: Two-level evolution of foraging agent communities
Manuel Alfonseca *, Juan de Lara
Department Ingenieri´a Informa´tica, Universidad Auto´noma de Madrid, Ctra. De Colmenar, km. 15, 28049 Madrid, Spain
Received 19 February 2002; received in revised form 29 March 2002; accepted 19 April 2002
This paper presents simulation results of artificial foraging agent communities. The goal of each agent in the
community is to find food. Once a food source is found, agents eat portions of it and carry some other portions to the
nest (in a manner similar to ants) until the food is depleted. Agents may also communicate food positions when they are
near each other. They are given a set of genes that control several characteristics, such as their activity, memory,
scepticism, lying, etc. These genes are recombined and propagated by means of sexual reproduction. When one nest is
superpopulated with agents, it can break in two nests. Agents can communicate only with those belonging to the same
nest, which gives rise to emergent situations of competition and cooperation between the agents in the same nest, as well
as competition between different nests. Other emergent phenomena such as the propagation of rumours are also
studied. # 2002 Elsevier Science Ireland Ltd. All rights reserved.
Keywords: Agent-based simulation; Evolution; Competition; Evolutionary stable strategies
1. Introduction
Computer modelling of large individual com-
munities (Resnick, 1999) is an active area of
research, due to the increasing capabilities of
today's computers. Modelling is done mostly using


Source: Alfonseca, Manuel - Escuela Politécnica Superior, Universidad Autonoma de Madrid
de Lara, Juan - Escuela Politécnica Superior, Universidad Autonoma de Madrid


Collections: Computer Technologies and Information Sciences; Engineering