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Barbara B. Smuts - One of the best experts on this subject based on the ideXlab platform.

  • AGENT-BASED MODELING OF MULTILEVEL SELECTION: THE EVOLUTION OF FEEDING RESTRAINT AS A CASE STUDY
    Natural Resources and Environmental Issues, 2001
    Co-Authors: John W. Pepper, Barbara B. Smuts
    Abstract:

    Department of Psychology, University of Michigan, Ann Arbor, MI 48109-1109, Email:bsmuts@umich.eduAbstract. Evolutionary biologists are increasinglyinterested in the dynamics of multilevel selection,or selection acting simultaneously at more thanone level in a hierarchy of reproducing entities(e.g., gene, chromosome, organelle, cell,Organism, Social Group, multi-species community).Systems of linear equations are the usual tool forstudying evolution, but are limited in their abilityto capture important dynamics of multilevelselection. Here we use an agent-based model tostudy the evolution of cooperation in spatiallystructured populations. This work addresses thelong-standing controversy over the role of “Groupselection”, or natural selection between versuswithin Groups of interacting individuals. In anecologically plausible setting, cooperativeindividuals with lower rates of food consumptioncompete reproductively against selfish individualswith higher rates of consumption. The resultsshow that changing the spatial distribution of food,and thus the distribution of the individuals seekingit, can determine whether or not cooperationevolves. In this model cooperation evolved undera fairly wide range of parameter values, evenwithout the kinship effects and discrete mixingphase that are sometimes thought to be necessary.We suggest that integrating equation-basedanalysis tools into agent-based models is apowerful way to study selection in systems withcomplex dynamics.I

John W. Pepper - One of the best experts on this subject based on the ideXlab platform.

  • AGENT-BASED MODELING OF MULTILEVEL SELECTION: THE EVOLUTION OF FEEDING RESTRAINT AS A CASE STUDY
    Natural Resources and Environmental Issues, 2001
    Co-Authors: John W. Pepper, Barbara B. Smuts
    Abstract:

    Department of Psychology, University of Michigan, Ann Arbor, MI 48109-1109, Email:bsmuts@umich.eduAbstract. Evolutionary biologists are increasinglyinterested in the dynamics of multilevel selection,or selection acting simultaneously at more thanone level in a hierarchy of reproducing entities(e.g., gene, chromosome, organelle, cell,Organism, Social Group, multi-species community).Systems of linear equations are the usual tool forstudying evolution, but are limited in their abilityto capture important dynamics of multilevelselection. Here we use an agent-based model tostudy the evolution of cooperation in spatiallystructured populations. This work addresses thelong-standing controversy over the role of “Groupselection”, or natural selection between versuswithin Groups of interacting individuals. In anecologically plausible setting, cooperativeindividuals with lower rates of food consumptioncompete reproductively against selfish individualswith higher rates of consumption. The resultsshow that changing the spatial distribution of food,and thus the distribution of the individuals seekingit, can determine whether or not cooperationevolves. In this model cooperation evolved undera fairly wide range of parameter values, evenwithout the kinship effects and discrete mixingphase that are sometimes thought to be necessary.We suggest that integrating equation-basedanalysis tools into agent-based models is apowerful way to study selection in systems withcomplex dynamics.I