Abstract
As for the impact of the characters of nodes in complex network on collaborate level, this paper puts forward an iterated game model based on conformist mechanism. In this new model, the nodes update strategies not only accord to their payoffs but also to their group, which ensures that nodes in the same group adopt the same strategies based on intelligent materials. Simulation results reveal that the collaborated level of the networks based on conformist mechanism is higher than the networks based on normal mechanism. The collaboration level is related to the group number. The collaboration level is higher when the group number is few. In addition, the average payoffs increase linearly with the penalty gene increasing instead of rising alternatively. As a result, the new model enhances the collaboration level and the average payoffs in complex network.
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© 2011 Springer-Verlag Berlin Heidelberg
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He, Y., He, Jz. (2011). A Conformist Mechanism to Promote Collaboration Emergence. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23777-5_59
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DOI: https://doi.org/10.1007/978-3-642-23777-5_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23776-8
Online ISBN: 978-3-642-23777-5
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