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people:chris_symonds:abstract_outcome [2014/10/12 19:04] – csymonds | people:chris_symonds:abstract_outcome [2014/10/14 05:48] (current) – csymonds |
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===Revised Abstract=== | ===Revised Abstract=== |
Computational models of biological evolution have shown that both parochial and altruistic behaviors increased the fitness of the host by working in concert with each other rather than co-evolving on their own beneficial merits. The benefits of these mutually reinforcing behaviors include better resources management within an in-group through the elimination of out-groups. We present new models in a robust computational system that allows for the evolution of parochial altruism. Populations of in-groups have the potential to evolve some combination of these behaviors to test whether the biological benefits gained from parochial altruism can find a correlate effect on fitness in a robust-first environment. However, the wide variation in resource availability within this computational system can give rise to "cooperative stalemates" among certain behavior categories. The new models display a dynamic interplay among these evolved behaviors as the populations compete for computational resources. | Computational models of biological evolution have shown that both parochial and altruistic behaviors increase the fitness of the host by working in concert rather than on their own beneficial merits. The benefits of these mutually reinforcing behaviors include better resources management within an in-group through the elimination of out-groups. We present new models that allow for the evolution of parochial altruism in a robust computational system that show whether the biological benefits gained from these behaviors can find a correlate effect on fitness in a robust-first environment. Wide variation in resource availability within this computational system can give rise to "cooperative stalemates" among certain behavior categories. The new models display a dynamic interplay among these evolved behaviors as the populations compete for computational resources. |
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