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First International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2007)
Evolution of Cooperative Information Gathering in Self-Replicating Digital Organisms
Cambridge, Massachussets
July 09-July 11
ISBN: 0-7695-2906-2
Benjamin E. Beckmann, Michigan State University
Philip K. McKinley, Michigan State University
David B. Knoester, Michigan State University
Charles Ofria, Michigan State University
We describe a study in the application of digital evolution to the problem of cooperative information gathering. In digital evolution, self-replicating computer programs evolve to perform tasks and optimize resource usage in order to survive within a user defined computational environment. Instruction-level mutations during replication and CPU-cycle rewards for desired behavior produce natural selection within the population. The evolution is openended and not limited by human preconceptions. The contributions of this work are (1) to demonstrate that cooperative information gathering can evolve in digital organisms and (2) to provide insight into the fundamental processes governing evolution of such behavior.
Citation:
Benjamin E. Beckmann, Philip K. McKinley, David B. Knoester, Charles Ofria, "Evolution of Cooperative Information Gathering in Self-Replicating Digital Organisms," saso, pp.65-76, First International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2007), 2007
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