Reinforcement learning facilitates an optimal interaction intensity for cooperation

Z Song, H Guo, D Jia, M Perc, X Li, Z Wang - Neurocomputing, 2022 - Elsevier
Our social interactions vary over time and they depend on various factors that determine our
preferences and goals, both in personal and professional terms. Researches have shown …

Interaction state Q-learning promotes cooperation in the spatial prisoner's dilemma game

Z Yang, L Zheng, M Perc, Y Li - Applied Mathematics and Computation, 2024 - Elsevier
Many recent studies have used reinforcement learning methods to investigate the behavior
of agents in evolutionary games. Q-learning, in particular, has become a mainstream …

Adaptive reputation promotes trust in social networks

Z Hu, X Li, J Wang, C **a, Z Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Trust has played a pivotal role in the evolution of modern human societies, and it continues
to be an essential underpinning of our social interactions. It is therefore important that we …

An evolutionary game with the game transitions based on the Markov process

M Feng, B Pi, LJ Deng, J Kurths - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The psychology of the individual is continuously changing in nature, which has a significant
influence on the evolutionary dynamics of populations. To study the influence of the …

Reputation-based interaction promotes cooperation with reinforcement learning

T Ren, XJ Zeng - IEEE Transactions on Evolutionary …, 2023 - ieeexplore.ieee.org
Dynamical interaction represents a fundamental coevolutionary rule that addresses the
intricacies of cooperation in social dilemmas. It provides a normative account for the …

Cooperation and competition between pair and multi-player social games in spatial populations

A Szolnoki, X Chen - Scientific reports, 2021 - nature.com
The conflict between individual and collective interests is in the heart of every social
dilemmas established by evolutionary game theory. We cannot avoid these conflicts but …

ACSEE: Antagonistic crowd simulation model with emotional contagion and evolutionary game theory

C Li, P Lv, D Manocha, H Wang, Y Li… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Antagonistic crowd behaviors are often observed in cases of serious conflict. Antagonistic
emotions, which is the typical psychological state of agents in different roles (ie, cops …

Effect of Q-learning on the evolution of cooperation behavior in collective motion: An improved Vicsek model

C Wang, J Deng, H Zhao, L Li - Applied Mathematics and Computation, 2024 - Elsevier
There have been numerous studies on collective behavior, among which communication
between agents can have a great impact on both the payoff and the cost of making …

To trust or not to trust: evolutionary dynamics of an asymmetric N-player trust game

IS Lim, N Masuda - IEEE Transactions on Evolutionary …, 2023 - ieeexplore.ieee.org
Trusting others and reciprocating the received trust with trustworthy actions are fundaments
of economic and social interactions. The trust game (TG) is widely used for studying trust …

Effects of reciprocal rewarding on the evolution of cooperation in voluntary social dilemmas

X Li, H Wang, C **a, M Perc - Frontiers in Physics, 2019 - frontiersin.org
Voluntary participation, as an effective mechanism to promote cooperation in game theory,
has been widely concerned. In the meanwhile, reciprocal rewarding plays an important role …