Modeling and Analysis of Networked Evolutionary Games with Weight via Semi-tensor Product Method

被引:0
作者
Zhu Rui [1 ]
Chen Zengqiang [1 ]
Zhang Jianlei [1 ]
Liu Zhongxin [1 ]
机构
[1] Nankai Univ, Coll Artificial Intelligence, Tianjin 300350, Peoples R China
来源
2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC) | 2021年
基金
中国国家自然科学基金;
关键词
Networked Evolutionary Game with Weight; Semi-tensor Product; Algebraic Formulation; Dynamics Analysis; OPTIMIZATION; FORMULATION; DYNAMICS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper studies dynamics behaviors for a class of networked evolutionary games with weight by using semi-tensor product of matrices. Each player is able to choose some of the associated players as their own neighborhoods in weighted networked evolutionary games. Firstly, the model is put forward named networked evolutionary games with weight, which quantify the connections between players. Each player choose their neighborhoods who meet their own mental standards from connected people. Secondly, an algebraic form of the model is got via the semi-tensor product. The dynamical behavior of evolutionary networked games is discussed through it, then some interesting results about attractors are obtained. Finally, an example is showed to illustrate the theoretical results in this paper and explains that the new results can work well.
引用
收藏
页码:7457 / 7462
页数:6
相关论文
共 22 条
[1]   MEAN FIELD GAMES: NUMERICAL METHODS [J].
Achdou, Yves ;
Capuzzo-Dolcetta, Italo .
SIAM JOURNAL ON NUMERICAL ANALYSIS, 2010, 48 (03) :1136-1162
[2]   Global stability and stabilization of switched Boolean network with impulsive effects [J].
Chen, Hao ;
Sun, Jitao .
APPLIED MATHEMATICS AND COMPUTATION, 2013, 224 :625-634
[3]   Receding Horizon Based Feedback Optimization for Mix-Valued Logical Networks [J].
Cheng, Daizhan ;
Zhao, Yin ;
Xu, Tingting .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (12) :3362-3366
[4]  
Cheng DZ, 2011, COMMUN CONTROL ENG, P1, DOI 10.1007/978-0-85729-097-7_1
[5]   LEARNING, LOCAL INTERACTION, AND COORDINATION [J].
ELLISON, G .
ECONOMETRICA, 1993, 61 (05) :1047-1071
[6]   Algebraic formulation and strategy optimization for a class of evolutionary networked games via semi-tensor product method [J].
Guo, Peilian ;
Wang, Yuzhen ;
Li, Haitao .
AUTOMATICA, 2013, 49 (11) :3384-3389
[7]  
Jesus G., 2011, CHAOS, V21
[8]   Simultaneous evolution of learning rules and strategies [J].
Kirchkamp, O .
JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION, 1999, 40 (03) :295-312
[9]   Evolution of Cooperation in Spatial Traveler's Dilemma Game [J].
Li, Rong-Hua ;
Yu, Jeffrey Xu ;
Lin, Jiyuan .
PLOS ONE, 2013, 8 (03)
[10]   ALGEBRAIC APPROACH TO DYNAMICS OF MULTIVALUED NETWORKS [J].
Li, Zhiqiang ;
Cheng, Daizhan .
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2010, 20 (03) :561-582