Biology – Quantitative Biology – Populations and Evolution
Scientific paper
2006-06-23
Biology
Quantitative Biology
Populations and Evolution
Final version with minor changes, accepted for publication in Physical Review Letters
Scientific paper
10.1103/PhysRevLett.97.158701
Evolutionary game theory has traditionally assumed that all individuals in a population interact with each other between reproduction events. We show that eliminating this restriction by explicitly considering the time scales of interaction and selection leads to dramatic changes in the outcome of evolution. Examples include the selection of the inefficient strategy in the Harmony and Stag-Hunt games, and the disappearance of the coexistence state in the Snowdrift game. Our results hold for any population size and in the presence of a background of fitness.
Angel Sanchez Jose A. Cuesta y.
Roca Carlos P.
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