Towards Artificial Evolution of Complex Behaviors Observed in Insect Colonies

  • Miguel Duarte
  • Anders Lyhne Christensen
  • Sancho Oliveira
Conference paper

DOI: 10.1007/978-3-642-24769-9_12

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7026)
Cite this paper as:
Duarte M., Christensen A.L., Oliveira S. (2011) Towards Artificial Evolution of Complex Behaviors Observed in Insect Colonies. In: Antunes L., Pinto H.S. (eds) Progress in Artificial Intelligence. EPIA 2011. Lecture Notes in Computer Science, vol 7026. Springer, Berlin, Heidelberg

Abstract

Studies on social insects have demonstrated that complex, adaptive and self-organized behavior can arise at the macroscopic level from relatively simple rules at the microscopic level. Several past studies in robotics and artificial life have focused on the evolution and understanding of the rules that give rise to a specific macroscopic behavior such as task allocation, communication or synchronization. In this study, we demonstrate how colonies of embodied agents can be evolved to display multiple complex macroscopic behaviors at the same time. In our evolutionary model, we incorporate key features present in many natural systems, namely energy consumption, birth, death and a long evaluation time. We use a generic foraging scenario in which agents spend energy while they move and they must periodically recharge in the nest to avoid death. New robots are added (born) when the colony has foraged a sufficient number of preys. We perform an analysis of the evolved behaviors and demonstrate that several colonies display multiple complex and scalable macroscopic behaviors.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Miguel Duarte
    • 1
  • Anders Lyhne Christensen
    • 1
  • Sancho Oliveira
    • 1
  1. 1.Instituto de TelecomunicaçõesInstituto Universitário de Lisboa (ISCTE-IUL)LisbonPortugal

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