| CROSS-DISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
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Agreement Dynamics of Memory-Based Naming Game with Forgetting Curve of Ebbinghaus |
| SHI Xiao-Ming1, ZHANG Jie-Fang1 |
| Institute of Nonlinear Physics, Zhejiang Normal University, Jinhua 321004 |
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| Cite this article: |
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SHI Xiao-Ming, ZHANG Jie-Fang 2009 Chin. Phys. Lett. 26 048901 |
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Abstract We propose a memory-based naming game (MBNG) model with two-state variables in full-connected networks, which is like some previous opinion propagation models. It is found that this model is deeply affected by the memory decision parameter, and then its dynamical behaviour can be partly analysed by using numerical simulation and analytical argument. We also report a modified MBNG model with the forgetting curve of Ebbinghaus in the memory. With deletion of one parameter in the MBNG model, it can converge to success rate S(t)=1 and the average sum E(t) is decided by the size of network N.
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| Keywords:
89.75.Fb
05.65.+b
89.65.Ef
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Received: 31 October 2008
Published: 25 March 2009
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| PACS: |
89.75.Fb
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(Structures and organization in complex systems)
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05.65.+b
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(Self-organized systems)
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89.65.Ef
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(Social organizations; anthropology ?)
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