Abstract
AbstractPromoting cooperation in the network has always been a focus of evolutionary game dynamics research. In this paper, a three-strategy local decision model is designed to promote cooperative behavior between agents. The hide right is introduced to accurately describe the agents which tend to choose conservative strategy to achieve stable payoffs. Agents only consider their own and non-defective neighbors’ payoffs information to make their decisions for next move. According to the adaptive dynamics, the equilibrium states under different conditions have been studied. It is found that the introduction of hide strategy helps to reduce the occurrence of defection. The conclusion of this paper will provide a reference for the cooperation promotion mechanism of selfish agents that are closer to the actual situation.
Funder
National Natural Science Foundation of China
Liaoning Revitalization Talents Program
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,Engineering (miscellaneous),Information Systems,Artificial Intelligence
Reference33 articles.
1. Chen J, Sun J, Wang G (2022) From unmanned systems to autonomous intelligent systems. Engineering 12:16–19
2. Lin G, Li H, Ahn CK, Yao D (2022) Event-based finite-time neural control for human-in-the-loop UAV attitude systems. IEEE Trans Neural Netw Learn Syst
3. Zheng X, Li H, Ahn CK, Yao D (2023) Nn-based fixed-time attitude tracking control for multiple unmanned aerial vehicles with nonlinear faults. IEEE Trans Aerosp Electron Syst 59(2):1738–1748
4. Lu K, Li G, Wang L (2020) Online distributed algorithms for seeking generalized nash equilibria in dynamic environments. IEEE Trans Autom Control 66(5):2289–2296
5. Ma H, Ren H, Zhou Q, Li H, Wang Z (2022) Observer-based neural control of $$ n $$-link flexible-joint robots. IEEE Trans. Neural Netw. Learn, Syst