Dirk Helbing and Anders Johansson
arXiv:0911.0359v1 [physics.soc-ph] 2 Nov 2009
Evolutionary game theory examines systems in which many entities have competitive interactions and have the opportunity to adjust the strategies they use based on their own results and the results of entities around them. In this paper, the researchers -- physicists -- look at systems consisting of two populations with conflicting interactions. The interactions are modeled as four different types of games, each characterized by a qualitatively different system dynamics: the harmony game, the prisoner's dilemma, the stag-hunt game and the snow- drift game. When applied to social systems, the latter three describe social dilemma situations. However, in the presence of multiple populations, we may not only have the dilemma that people may choose not to cooperate; their behaviors in different populations may also be uncoordinated. Accordingly, the establishment of cooperation is only one challenge in social systems, while the establishment of commonly shared behaviors ("social norms") is another one.(modified from author abstract and paper conclusion).
See also
Video Lecture by Helbing (and a slide show that goes with it)
"VirtualLabs in evolutionary game theory" by Christoph Hauert.



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