%0 Journal Article %1 Zhang2010 %A Zhang, Jianlei %A Zhang, Chunyan %A Chu, Tianguang %D 2010 %J J. Theor. Biol. %K adaptive-networks coevolution evolution game-theory networks survival-of-the-fittest %P - %R 10.1016/j.jtbi.2010.08.011 %T Cooperation enhanced by the 'survival of the fittest' rule in prisoner's dilemma games on complex networks %V In Press, Accepted Manuscript %X Prevalence of cooperation within groups of selfish individuals is puzzling in that it contradicts with the basic premise of natural selection, whereby we introduce a model of strategy evolution taking place on evolving networks based on Darwinian `survival of the fittest' rule. In the present work, players whose payoffs are below a certain threshold will be deleted and the same number of new nodes will be added to the network to maintain the constant system size. Furthermore, the networking effect is also studied via implementing simulations on four typical network structures. Numerical results show that cooperators can obtain the biggest boost if the elimination threshold is fine-tuned. Notably, this coevolutionary rule drives the initial networks to evolve into statistically stationary states with a broad-scale degree distribution. Our results may provide many more insights for understanding the coevolution of strategy and network topology under the mechanism of nature selection whereby superior individuals will prosper and inferior ones be eliminated.

@article{Zhang2010, abstract = {Prevalence of cooperation within groups of selfish individuals is puzzling in that it contradicts with the basic premise of natural selection, whereby we introduce a model of strategy evolution taking place on evolving networks based on Darwinian [`]survival of the fittest' rule. In the present work, players whose payoffs are below a certain threshold will be deleted and the same number of new nodes will be added to the network to maintain the constant system size. Furthermore, the networking effect is also studied via implementing simulations on four typical network structures. Numerical results show that cooperators can obtain the biggest boost if the elimination threshold is fine-tuned. Notably, this coevolutionary rule drives the initial networks to evolve into statistically stationary states with a broad-scale degree distribution. Our results may provide many more insights for understanding the coevolution of strategy and network topology under the mechanism of nature selection whereby superior individuals will prosper and inferior ones be eliminated.}, added-at = {2011-01-13T13:26:44.000+0100}, author = {Zhang, Jianlei and Zhang, Chunyan and Chu, Tianguang}, biburl = {https://www.bibsonomy.org/bibtex/2d76295b02ddca37efc7b2135aa790762/rincedd}, doi = {10.1016/j.jtbi.2010.08.011}, groups = {public}, interhash = {fec3fbe66ce4cb868eb70da741dbef6d}, intrahash = {67485bc776a867175a545185a1d15c53}, journal = {J. Theor. Biol.}, keywords = {adaptive-networks coevolution evolution game-theory networks survival-of-the-fittest}, pages = { - }, timestamp = {2011-04-12T15:21:23.000+0200}, title = {Cooperation enhanced by the 'survival of the fittest' rule in prisoner's dilemma games on complex networks}, username = {rincedd}, volume = {In Press, Accepted Manuscript}, year = 2010 }