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Short-Time Evolution in the Adaptive Immune System
Physical Review E (2011)
  • Nicholas Guttenberg
  • S.M. Ali Tabei, University of Northern Iowa
  • Aaron R. Dinner, The University of Illinois at Chicago
We exploit a simple model to numerically and analytically investigate the effect of enforcing a time constraint for achieving a system-wide goal during an evolutionary dynamics. This situation is relevant to finding antibody specificities in the adaptive immune response as well as to artificial situations in which an evolutionary dynamics is used to generate a desired capability in a limited number of generations. When the likelihood of finding the target phenotype is low, we find that the optimal mutation rate can exceed the error threshold, in contrast to conventional evolutionary dynamics. We also show how a logarithmic correction to the usual inverse scaling of population size with mutation rate arises. Implications for natural and artificial evolutionary situations are discussed.
Publication Date
September 30, 2011
Citation Information
Nicholas Guttenberg, S.M. Ali Tabei and Aaron R. Dinner. "Short-Time Evolution in the Adaptive Immune System" Physical Review E Vol. 84 Iss. 03 (2011)
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