Preferential selection based on aspiration and memory in spatial evolutionary prisoner's dilemma game

T Ye, P Li, S Fan - Physica A: Statistical Mechanics and its Applications, 2024 - Elsevier
When studying the spontaneous emergence of cooperation within the framework of
evolutionary game theory, the process of strategy selection plays a crucial role in …

Aspiration depends on environmental factors and aspiration duration promotes cooperation in the spatial prisoner's dilemma game

S Lu, J Dai - Physica A: Statistical Mechanics and its Applications, 2022 - Elsevier
This paper mainly investigates the impact of the duration of aspiration and environmental
factors on cooperation using the weak prisoner's dilemma game. In real life, people's …

Impacts of special cooperation strategy with reward and punishment mechanism on cooperation evolution

Q Pan, Y Wang, M He - Chaos, Solitons & Fractals, 2022 - Elsevier
This paper introduces a special cooperation strategy with both punishment and reward
capabilities and analyzes the effect of this strategy on cooperation evolution. The results …

Evolutionary game dynamics of Moran process with fuzzy payoffs and its application

C Gu, X Wang, J Zhao, R Ding, Q He - Applied mathematics and …, 2020 - Elsevier
Most of the previous studies on the evolutionary dynamics of the Moran process assumed
that the payoff obtained by the participant from the games is deterministic and expressed in …

Investigating the effectiveness of interaction-efficiency-driven strategy updating under progressive-interaction for the evolution of the prisoner's dilemma game

S Lu, J Dai, G Zhu, L Guo - Chaos, Solitons & Fractals, 2023 - Elsevier
In reality, interactive friend is added may one after another, instead of interacting with all at
first. This work has proposed a progressive-interaction behavior driven by consistent …

QFuture: Learning Future Expectation Cognition in Multiagent Reinforcement Learning

B Liu, Z Pu, Y Pan, J Yi, M Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In multiagent reinforcement learning (MARL), agents must learn to cooperate by observing
the environment and selecting actions that maximize their rewards. However, this learning …

Evolution of cooperation through aspiration-based adjustment of interaction range in spatial prisoner's dilemma game

X Han, X Zhao, H **a - Applied mathematics and computation, 2021 - Elsevier
Neighborhood size is an important factor in the spatial prisoner's dilemma game. Traditional
static interaction range does not adapt to the dynamic social environment. Therefore, it is …

Promoting effect of adaptive interaction based on random neighbors to cooperation in the spatial prisoner's dilemma game

S Lu, G Zhu, J Dai - Applied Mathematics and Computation, 2023 - Elsevier
Interaction is an important step in cooperation evolution, and non-deterministic interactions
are common in complex and changeable environments. Therefore, the number of interactive …

The choice-decision based on memory and payoff favors cooperation in stag hunt game on interdependent networks

Y Deng, J Zhang - The European Physical Journal B, 2022 - Springer
Cooperation and defection behaviors are often profit-oriented in the real world, and when
individuals make decisions, they tend to refer to past historical decision-making information …

Preferential selection based on payoff satisfaction and memory promotes cooperation in the spatial prisoner's dilemma games

B Wang, W Kang, J Sheng, C Liu, Q Dong… - Europhysics …, 2020 - iopscience.iop.org
The strategy selection process plays a crucial role in evolutionary dynamics when we study
the spontaneous emergence of cooperation under the framework of evolutionary game …