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DOI: http://dx.doi.org/10.7551/978-0-262-32621-6-ch017
Pages 98-104
First published 30 July 2014

Evolution of animats following a moving target in an artificial ecosystem

Joachim Erdei and Borys Wróbel

Abstract (Excerpt)

Many biological animals, even microscopically small, are able to track moving sources of food. In this paper, we investigate the emergence of such behavior in artificial animals (animats) in a 2-dimensional simulated liquid environment. These "predators" are controlled by evolving artificial gene regulatory networks encoded in linear genomes. The fate of the predators is determined only by their ability to gather food and reproduce—no subjective function is used to select the best individuals. Food is delivered to the environment by mobile animats who are not evolved ("prey"). Our results show promise for evolving more complex behavior relevant for nanorobotics, swarm robotics, and research on the evolution of simple cognitive abilities (minimal cognition).