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Content Provider | IEEE Xplore Digital Library |
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Author | Yang Mingmin Fu Feng Cao Zhigang Yang Xiaoguang |
Copyright Year | 2013 |
Description | Author affiliation: Acad. of Math. & Syst. Sci., Beijing, China (Yang Mingmin; Cao Zhigang; Yang Xiaoguang) || Program for Evolutionary Dynamics, Harvard Univ., Cambridge, MA, USA (Fu Feng) |
Abstract | We extend the spatial game proposed by Nowak in 1992. In Nowak's original model, agents can only choose two strategies: AllC(unconditional cooperation) and AllD(unconditional defection). In our model, agents are allowed to adopt stochastic reaction strategies, and can learn from neighbors' according to payoff differences. Only the lattice network was considered in Nowak's model, while both homogenous(lattice, small-world) and non-homogenous(scale-free) networks are investigated in our paper. On the lattice networks, we found that the evolving process of the population's strategies is quite similar to that in the replicator dynamics model [13]. On the small-world networks, we investigated the effect of randomness of the topology to the evolving result, and found that a more clustering topology tends to sustain a more cooperative world. On the scale-free networks, we investigate how the hub nodes' initial states affect the evolving result. |
Starting Page | 8221 |
Ending Page | 8224 |
File Size | 138700 |
Page Count | 4 |
File Format | |
ISBN | 9789881563835 |
ISSN | 19341768 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-07-26 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | TCCT, CAA |
Subject Keyword | Network topology Evolution (biology) Social network services Lattices Stochastic processes Games Complex network Prisoner's Dilemma Spatial Game Topology Evolutionary Dynamics |
Content Type | Text |
Resource Type | Article |
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