Forward induction, evolutionary processes and behavior evolution
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The paper deals with the driving forces behind behavior selection in both forward induction refinements and discrete evolutionary processes with mutations. Its main purpose is to analyse an important difference due to the support of the mutations. It shows that similar driving forces can allow to outweigh this difference. To this aim it constructs the limit Markov graph, a tool used to compute the probabilities in the limit distribution.
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