Evolution of altruistic robots

  • Authors:
  • Dario Floreano;Sara Mitri;Andres Perez-Uribe;Laurent Keller

  • Affiliations:
  • Laboratory of Intelligent Systems, EPFL, Lausanne, Switzerland;Laboratory of Intelligent Systems, EPFL, Lausanne, Switzerland;University of Applied Sciences, Yverdon, Switzerland;Department of Ecology and Evolution, University of Lausanne, Switzerland

  • Venue:
  • WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
  • Year:
  • 2008

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Abstract

In this document we examine the evolutionary methods that may lead to the emergence of altruistic cooperation in robot collectives. We present four evolutionary algorithms that derive from biological theories on the evolution of altruism in nature and compare them systematically in two experimental scenarios where altruistic cooperation can lead to a performance increment. We discuss the relative merits and drawbacks of the four methods and provide recommendations for the choice of the most suitable method for evolving altruistic robots.