Networked Decision-Making Dynamics Based on Fair, Extortionate and Generous Strategies in Iterated Public Goods Games-Reference-Cited by-同舟云学术

Networked Decision-Making Dynamics Based on Fair, Extortionate and Generous Strategies in Iterated Public Goods Games

Published:2022-07-01 Issue:4 Volume:9 Page:2450-2462
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Zhu Yuying¹^ORCID,Xia Cheng-yi¹^ORCID,Wang Zhen²^ORCID,Chen Zengqiang³^ORCID

Affiliation:

1. School of Control Science and Engineering, Tiangong University, Tianjin, China

2. School of Mechanical Engineering and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an, China

3. Department of Automation and College of Artificial Intelligence, Nankai University, Tianjin, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6488902/9808096/09748017.pdf?arnumber=9748017

Reference45 articles.

1. Evolutionary Game Dynamics of Multiagent Systems on Multiple Community Networks

2. Multiple strategies in structured populations

3. Replicator Dynamics for Optional Public Good Games

4. Costly Participation and The Evolution of Cooperation in the Repeated Public Goods Game

5. Risk Analysis and Enhancement of Cooperation Yielded by the Individual Reputation in the Spatial Public Goods Game

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