作者: Matteo Cavaliere , Guoli Yang , Vincent Danos , Vasilis Dakos
DOI: 10.1038/SREP30845
关键词: Mechanism (sociology) 、 Economic system 、 Evolutionary game theory 、 Social conflict 、 Economics 、 Collapse (medical) 、 Game theory 、 Outcome (game theory) 、 Population 、 Evolving networks
摘要: The sustainability of biological, social, economic and ecological communities is often determined by the outcome social conflicts between cooperative selfish individuals (cheaters). Cheaters avoid cost contributing to community can occasionally spread in population leading complete collapse cooperation. Although such unfolds unexpectedly, it unclear whether one detect risk cheater’s invasions loss cooperation an evolving community. Here, we combine dynamical networks evolutionary game theory study abrupt with tools for studying critical transitions. We estimate following introduction a single cheater under gradually changing conditions. observe increase average time takes cheaters be eliminated from as increases. argue that slow system response resembles slowing down recovery rates prior transition. In addition, show how changes structure reflect collapse. find these strongly depend on mechanism governs evolve Our results highlight novel directions detecting transitions networks.