Title | Promote of cooperation in networked multiagent system based on fitness control |
Authors | Deng, Wenfeng Huang, Keke Yang, Chunhua Zhu, Hongqiu Yu, Zhaofei |
Affiliation | Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China. Peking Univ, Sch Elect Engn & Comp Sci, Beijing 100871, Peoples R China. Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China. Yu, ZF (reprint author), Peking Univ, Sch Elect Engn & Comp Sci, Beijing 100871, Peoples R China. |
Keywords | Social dilemma Cooperation Fitness control Multiagent system EVOLUTIONARY GAMES SOCIAL DILEMMAS STABILITY CONSENSUS DYNAMICS BEHAVIOR |
Issue Date | 2018 |
Publisher | APPLIED MATHEMATICS AND COMPUTATION |
Citation | APPLIED MATHEMATICS AND COMPUTATION. 2018, 339, 805-811. |
Abstract | How did cooperative strategy evolve remains an open question across disciplines. In most previous studies, they mainly consider the analyzing of game dynamics on the networked multiagent system under different mechanisms. However, there often exists a "government" who regulates the strategies of agents centralized or decentralized in reality. Motivated by this fact, we introduce a fitness control method in this paper, and investigate the strength of external fitness control on the game dynamics in networked multiagent system. According to the classic Monte Carlo simulation, we found that the fitness control rule can significantly enhance the cooperation level in networked multiagent system. In particular, we found that the stronger the local fitness control is, the more widespread cooperative strategy becomes. More interestingly, we found that although the local fitness control is less information needed, it is more powerful in cooperation promotion than that of global fitness control rule. Thus, it is practically significant and will provide a new insight into the control of game dynamics in networked multiagent system for the further research. (C) 2018 Elsevier Inc. All rights reserved. |
URI | http://hdl.handle.net/20.500.11897/516672 |
ISSN | 0096-3003 |
DOI | 10.1016/j.amc.2018.08.002 |
Indexed | SCI(E) |
Appears in Collections: | 信息科学技术学院 |