Evolution of robust data distribution among digital organisms

Authors:
David B. Knoester;Andres J. Ramirez;Philip K. McKinley;Betty H.C. Cheng
Affiliations:
Michigan State University, East Lansing, MI, USA;Michigan State University, East Lansing, MI, USA;Michigan State University, East Lansing, MI, USA;Michigan State University, East Lansing, MI, USA
Venue:
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Year:
2009

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Abstract

This paper describes a study of the evolution of robust communication, specifically the distribution of data among individuals in a population, using digital evolution. In digital evolution, a population of self-replicating computer programs exists in a user-defined computational environment and is subject to instruction-level mutations and natural selection. To encourage the evolution of this cooperative behavior, we make use of "digital germlines," a form of group-level selection similar to multicellularity in biology. The results of experiments using the Avida platform for digital evolution demonstrate that populations of digital organisms are capable of evolving to distribute data in a network, and that through the application of different selective pressures, these digital organisms can overcome communication obstacles such as message loss, limited bandwidth, and node failure.