A new route to the evolution of cooperation

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How researchers see this paper

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Multi-agent Reinforcement Learning in Sequential Social Dilemmas (2017, methodology): “This means that if one were to adhere strictly to the MGSD-modeling paradigm, PD models should be proposed for both situations.”
Cooperation Prevails When Individuals Adjust Their Social Ties (2006, background): “On (static) heterogeneous graphs, and for specific values of T and S, the population will evolve into a cooperative state [7], and the transient dynamics associated with the approach to such a cooperative state, starting from an equal fraction of cooperators and defectors, has been examined in detai”
Evolutionary games on graphs (2006, background): “ak asymmetry in the number of neighbors cannot modify this picture. This mechanism seems to work well for all scale-free networks, as was reported by Santos and Pacheco (2005); Santos et al. (2006c); Santos and Pacheco (2006), who observed a signiﬁcant enhancement in the frequencyofcooperators.Thest”