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• W1567360452 abstract "This paper considers the modeling and convergence of hyper-networked evolutionary games(HNEGs). In an HNEG the network graph is a hypergraph, which allows the fundamental network game to be a multi-player one. Using semi-tensor product of matrices and the fundamental evolutionary equation, the dynamics of an HNEG is obtained. Using it, we extend the results about the networked evolutionary games to show when an HNEG is potential and how to calculate the potential. Then we propose a new strategy updating rule, called the cascading Myopic Best Response Adjustment Rule(MBRAR), and prove that under the cascading MBRAR an HNEG will converge to a pure Nash Equilibrium. An example is presented and discussed in detail to demonstrate the theoretical and numerical results." @default.
• W1567360452 created "2016-06-24" @default.
• W1567360452 creator A5000163245 @default.
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• W1567360452 date "2015-07-01" @default.
• W1567360452 modified "2023-09-26" @default.
• W1567360452 title "Dynamics and stability of potential hyper-networked evolutionary games" @default.
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• W1567360452 doi "https://doi.org/10.1109/chicc.2015.7261078" @default.
• W1567360452 hasPublicationYear "2015" @default.
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