Article
Mathematics, Interdisciplinary Applications
Hsuan-Wei Lee, Colin Cleveland, Attila Szolnoki
Summary: When people collaborate, they expect more than a simple sum of their efforts. In the public goods game, participants' contributions are multiplied by an r synergy factor before being distributed. This study explores the consequences of different group sizes and synergy factors. Results show that larger groups with higher synergy factors result in higher levels of cooperation, benefiting the entire community. Similar behavior is observed in other heterogeneous topologies.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Physics, Multidisciplinary
Jialu He, Jianwei Wang, Fengyuan Yu, Wei Chen, Yuhao Ji
Summary: This study examines the influence of the interplay between reputation and heterogeneous investment on the evolution of cooperation. The results suggest that the interplay of reputation and heterogeneous investment can boost cooperation to some extent.
Article
Mathematics, Applied
Le Wang, Tong Chen, Zhenghong Wu
Summary: In an acquaintance society, reputation plays a crucial role in individuals' activities, especially in collective decision-making like crowd-funding. Different scoring rules for reputation were studied, with strict rules found to better stimulate cooperation in most cases. Individuals with good reputation have a stronger effect on cooperation compared to those with bad reputation.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Mathematics, Interdisciplinary Applications
Xianjia Wang, Rui Ding, Jinhua Zhao, Wenman Chen
Summary: This paper investigates the prevalence of donation behaviors in real life and the factors influencing their propagation. By analyzing different strategies in simulated populations, the authors find that extreme altruists struggle to survive without adapting, and reputation plays a key role in cooperation. Furthermore, the introduction of peculiar strategies like hypocrites and realists negatively impacts the popularization of donation behaviors in various scenarios.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Mathematics, Interdisciplinary Applications
Xiaojian Ma, Ji Quan, Xianjia Wang
Summary: Cooperation in multi-person social dilemmas is analyzed using a heterogeneous investment model in this study. Results show that investments based on different reputation thresholds are efficient for promoting cooperation and increasing average payoffs in the system.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Biology
Xiaomin Wang, Marta C. Couto, Nianyi Wang, Xinmiao An, Bin Chen, Yali Dong, Christian Hilbe, Boyu Zhang
Summary: One important use of evolutionary game theory is to study social dilemmas and understand why people cooperate. This study investigates the effect of asymmetry in coordination games and finds that humans prefer to contribute the same proportion of their endowment. Experimental results show the non-trivial effects of inequality on cooperation, and discuss the extent to which evolutionary game theory models can account for these effects.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2023)
Article
Physics, Multidisciplinary
Jianwei Wang, Wenshu Xu, Xingjian Zhang, Nianxuan Zhao, Fengyuan Yu
Summary: Public resource redistribution is an important means of regulating social income equality. However, previous studies have not comprehensively defined low-income groups, and have overlooked the inequality caused by initial endowment differences. Additionally, it is important to consider whether redistribution benefits the whole and how to reduce inequality while promoting altruistic behavior.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Mathematics, Applied
Hsuan-Wei Lee, Colin Cleveland, Attila Szolnoki
Summary: Punishing those who refuse to participate in common efforts is a known way to maintain cooperation, but it can make punishers vulnerable and jeopardize effectiveness. Hiring special players to monitor and punish defectors as an alternative using a tax-based fund is suggested. The level of tax and punishment fines are crucial factors in determining coexistence with cooperators or defectors and achieving optimal outcomes.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Physics, Multidisciplinary
Ji Quan, Caixia Tang, Xianjia Wang
Summary: Reputation provides important information to society and the discount effect on reputation plays a crucial role in the emergence and maintenance of cooperative behavior. The discount effect on reputation is divided into relative reputation and absolute reputation situations, with the latter being more conducive to the evolution of cooperation.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Mathematics, Interdisciplinary Applications
Attila Szolnoki, Xiaojie Chen
Summary: In a public goods game, reinvesting the results of common effort and adding it to the pool for the next round can change players' strategies, especially in structured populations where the last round is crucial for achieving full cooperation. In such cases, it may be advantageous for defectors to support the first round and enjoy the extra benefit of accumulated contributions.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Physics, Multidisciplinary
Lihui Shang, Sihao Sun, Jun Ai, Zhan Su
Summary: This study investigates the evolution of cooperative behaviors in the spatial public goods game. The findings indicate that interaction diversity greatly enhances the level of cooperation compared to the traditional model with homogeneous social scope. The mechanism behind this improvement is based on the inhomogeneous interactive domain, where cooperators can easily maintain their strategies and stabilize the cooperative neighborhood, leading to the emergence of close cooperation clusters. Furthermore, increasing uncertainty in the strategy adoption process can help the system achieve full cooperation when the diversity mechanism is considered.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Mathematics, Interdisciplinary Applications
Yuxian Duan, Jian Huang, Jiarui Zhang
Summary: In this study, the impact of scale-free and high aggregation properties on the public goods game in memory heterogeneous groups was investigated. An optimal strategy selection mechanism based on long-term historical payoffs was proposed, which showed that it can maintain a high level of cooperation. Furthermore, the heterogeneity of memory length in the network was found to promote network reciprocity and robustness.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Mathematics, Interdisciplinary Applications
Yuxian Duan, Jian Huang, Jiarui Zhang
Summary: This paper focuses on the impact of scale-free and high aggregation properties on the public goods game of memory heterogeneous groups. It proposes an optimal strategy selection mechanism based on long-term historical payoffs, which can keep the proportion of cooperators at a high level. Additionally, the study demonstrates that the heterogeneity of memory length in the network promotes the enhancement of network reciprocity and robustness, contributing to further understanding the mechanism of cooperative behavior emergence in complex networks.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Mathematics, Applied
Boyu Zhang, Xinmiao An, Yali Dong
Summary: Conditional cooperators play a significant role in public goods games, as they do not increase contribution levels but enhance the effectiveness of institutional punishment. This leads to a higher contribution rate in punishment scenarios compared to reward scenarios, demonstrating the robustness of this result in various decision-making settings.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Physics, Multidisciplinary
Xiaowen Zhong, Ying Fan, Zengru Di
Summary: Evolutionary game theory studies the interactions between individuals, and the combination of complex network and evolutionary game theory has attracted considerable attention. Research on public goods game on different types of signed networks shows that friendly and hostile relationships have varied effects on cooperation among individuals.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Mechanics
Han-Xin Yang, Zhi-Xi Wu
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
(2018)
Article
Thermodynamics
Juncheng Guo, Hanxin Yang, Houcheng Zhang, Julian Gonzalez-Ayala, J. M. M. Roco, A. Medina, A. Calvo Hernandez
ENERGY CONVERSION AND MANAGEMENT
(2019)
Article
Physics, Multidisciplinary
Han-Xin Yang, Lei Sun
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2020)
Article
Thermodynamics
Juncheng Guo, Hanxin Yang, Julian Gonzalez-Ayala, J. M. M. Roco, A. Medina, A. Calvo Hernandez
ENERGY CONVERSION AND MANAGEMENT
(2020)
Article
Physics, Multidisciplinary
Zhexu Li, Haibo Cao, Hanxin Yang, Juncheng Guo
Summary: Thermally driven heat pump systems are evaluated and compared using irreversible thermodynamic models under a low-dissipation assumption. The results provide optimal construction designs and boundaries for the performance of different systems.
Article
Physics, Multidisciplinary
Shenwen Chen, Siqiao Ren, Lei Zheng, Hanxin Yang, Wenbo Du, Xianbin Cao
Summary: This study analyzed scientific papers published by authors from China and the United States in the field of education, identifying differences and similarities between the two countries. Chinese educators collaborate widely, while American educators tend to collaborate in smaller groups. Both countries have an optimal team size for producing highly popular papers.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Physics, Multidisciplinary
Zhexu Li, Julian Gonzalez-Ayala, Hanxin Yang, Juncheng Guo, A. Calvo Hernandez
Summary: In this paper, a general non-combined model of a three-terminal refrigerator beyond specific heat transfer mechanisms is established based on the low-dissipation assumption. The relation between the optimized cooling power and the corresponding coefficient of performance (COP) is analytically derived, and the upper and lower bounds of the maximum cooling power (CMP) are obtained. It is found that the upper bounds are the same, whereas the lower bounds are quite different, indicating that the claimed universal equivalence for the combined and non-combined models is invalid within the frame of low-dissipation assumption.
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
(2022)
Article
Mathematics, Applied
Cong Liu, Chong-Yang Wang, Zhi-Xi Wu, Han-Xin Yang, Jian-Yue Guan
Summary: This study reveals that a moderate degree of diversity can significantly enhance the collective response of coupled extended systems. It demonstrates that the standard deviation and the ratio of negative entities jointly modulate diversity-induced resonance, and the coexistence of negative and positive entities is a prerequisite for this resonant behavior.
Article
Mathematics, Applied
Zhifang Li, Xiaojie Chen, Han-Xin Yang, Attila Szolnoki
Summary: This article proposes an evolutionary game approach to explore the conditions for opinion spreading in social networks, revealing that factors influencing successful dissemination of opinions include basic scores, feedback scores, and structural parameters. The theoretical findings are supported and confirmed through computer simulations on various network structures.
Article
Mathematics, Applied
Feng You, Han-Xin Yang, Yumeng Li, Wenbo Du, Gang Wang
Summary: This paper proposes a modified Vicsek model to investigate the impact of communication costs on the behavior of individuals choosing to move together or walk alone. The research findings demonstrate that cooperation can be maintained and the highest level of synchronization can be achieved at an optimal communication radius.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Mathematics, Applied
Cong Liu, Zhi-Xi Wu, Chong-Yang Wang, Han-Xin Yang, Jian-Yue Guan
Summary: The study shows that astrocytes can listen to the talk between neurons, give advice, and contribute to heterogeneous couplings. The research focuses on the regulation function of astrocytes and explores the role of heterogeneous couplings among neuron-astrocyte components in signal response.
Article
Thermodynamics
Haibo Cao, Zhexu Li, Wanli Peng, Hanxin Yang, Juncheng Guo
Summary: In this paper, a generic model of three-terminal heat transformer without reference to any specific heat-transfer law is established on the basis of the low-dissipation assumption. The optimum behaviors and parametric choices under two different parameter constraints are investigated and compared. The influences of dissipation symmetry on several key performance indicators are discussed, leading to the important results of the performance bounds of coefficient of performance (COP) at maximum heating load and maximum Omega regimes.
Article
Physics, Multidisciplinary
Rongxiang Luo, Juncheng Guo, Jun Zhang, Hanxin Yang
Summary: A mechanism that induces negative differential thermal resistance (NDTR) between heat baths has been shown in one-dimensional hard-point gases. In this study, we extend the investigation to higher-dimensional fluids using multiparticle collision dynamics, and find that the NDTR mechanism is applicable to high-dimensional fluidic systems with weak interactions and is robust to mixed fluids. These findings significantly advance the understanding of NDTR induced by heat baths and shed light on the fabrication of fluid thermal transistors in micro-and nanosystems.
PHYSICAL REVIEW RESEARCH
(2022)
Article
Physics, Multidisciplinary
Han-Xin Yang, Ming-Jian Fu
Article
Physics, Multidisciplinary
Xiaoyu Shi, Jian Zhang, Xia Jiang, Juan Chen, Wei Hao, Bo Wang
Summary: This study presents a novel framework using offline reinforcement learning to improve energy consumption in road transportation. By leveraging real-world human driving trajectories, the proposed method achieves significant improvements in energy consumption. The offline learning approach demonstrates generalizability across different scenarios.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Junhyuk Woo, Soon Ho Kim, Hyeongmo Kim, Kyungreem Han
Summary: Reservoir computing (RC) is a new machine-learning framework that uses an abstract neural network model to process information from complex dynamical systems. This study investigates the neuronal and network dynamics of liquid state machines (LSMs) using numerical simulations and classification tasks. The findings suggest that the computational performance of LSMs is closely related to the dynamic range, with a larger dynamic range resulting in higher performance.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Yuwei Yang, Zhuoxuan Li, Jun Chen, Zhiyuan Liu, Jinde Cao
Summary: This paper proposes an extreme learning machine (ELM) algorithm based on residual correction and Tent chaos sequence (TRELM-DROP) for accurate prediction of traffic flow. The algorithm reduces the impact of randomness in traffic flow through the Tent chaos strategy and residual correction method, and avoids weight optimization using the iterative method. A DROP strategy is introduced to improve the algorithm's ability to predict traffic flow under varying conditions.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Chengwei Dong, Min Yang, Lian Jia, Zirun Li
Summary: This work presents a novel three-dimensional system with multiple types of coexisting attractors, and investigates its dynamics using various methods. The mechanism of chaos emergence is explored, and the periodic orbits in the system are studied using the variational method. A symbolic coding method is successfully established to classify the short cycles. The flexibility and validity of the system are demonstrated through analogous circuit implementation. Various chaos-based applications are also presented to show the system's feasibility.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Viorel Badescu
Summary: This article discusses the maximum work extraction from confined particles energy, considering both reversible and irreversible processes. The results vary for different types of particles and conditions. The concept of exergy cannot be defined for particles that undergo spontaneous creation and annihilation. It is also noted that the Carnot efficiency is not applicable to the conversion of confined thermal radiation into work.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
P. M. Centres, D. J. Perez-Morelo, R. Guzman, L. Reinaudi, M. C. Gimenez
Summary: In this study, a phenomenological investigation of epidemic spread was conducted using a model of agent diffusion over a square region based on the SIR model. Two possible contagion mechanisms were considered, and it was observed that the number of secondary infections produced by an individual during its infectious period depended on various factors.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Zuan Jin, Minghui Ma, Shidong Liang, Hongguang Yao
Summary: This study proposes a differential variable speed limit (DVSL) control strategy considering lane assignment, which sets dynamic speed limits for each lane to attract vehicle lane-changing behaviors before the bottleneck and reduce the impact of traffic capacity drop. Experimental results show that the proposed DVSL control strategy can alleviate traffic congestion and improve efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Matthew Dicks, Andrew Paskaramoorthy, Tim Gebbie
Summary: In this study, we investigate the learning dynamics of a single reinforcement learning optimal execution trading agent when it interacts with an event-driven agent-based financial market model. The results show that the agents with smaller state spaces converge faster and are able to intuitively learn to trade using spread and volume states. The introduction of the learning agent has a robust impact on the moments of the model, except for the Hurst exponent, which decreases, and it can increase the micro-price volatility as trading volumes increase.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Zhouzhou Yao, Xianyu Wu, Yang Yang, Ning Li
Summary: This paper developed a cooperative lane-changing decision system based on digital technology and indirect reciprocity. By introducing image scoring and a Q-learning based reinforcement learning algorithm, drivers can continuously evaluate gains and adjust their strategies. The study shows that this decision system can improve driver cooperation and traffic efficiency, achieving over 50% cooperation probability under any connected vehicles penetration and traffic density, and reaching 100% cooperation probability under high penetration and medium to high traffic density.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Josephine Nanyondo, Henry Kasumba
Summary: This paper presents a multi-class Aw-Rascle (AR) model with area occupancy expressed in terms of vehicle class proportions. The qualitative properties of the proposed equilibrium velocity and the stability conditions of the model are established. The numerical results show the effect of proportional densities on the flow of vehicle classes, indicating the realism of the proposed model.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Oliver Smirnov
Summary: This study proposes a new method for simultaneously estimating the parameters of the 2D Ising model. The method solves a constrained optimization problem, where the objective function is a pseudo-log-likelihood and the constraint is the Hamiltonian of the external field. Monte Carlo simulations were conducted using models of different shapes and sizes to evaluate the performance of the method with and without the Hamiltonian constraint. The results demonstrate that the proposed estimation method yields lower variance across all model shapes and sizes compared to a simple pseudo-maximum likelihood.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Przemyslaw Chelminiak
Summary: The study investigates the first-passage properties of a non-linear diffusion equation with diffusivity dependent on the concentration/probability density through a power-law relationship. The survival probability and first-passage time distribution are determined based on the power-law exponent, and both exact and approximate expressions are derived, along with their asymptotic representations. The results pertain to diffusing particles that are either freely or harmonically trapped. The mean first-passage time is finite for the harmonically trapped particle, while it is divergent for the freely diffusing particle.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Hidemaro Suwa
Summary: The choice of transition kernel is crucial for the performance of the Markov chain Monte Carlo method. A one-parameter rejection control transition kernel is proposed, and it is shown that the rejection process plays a significant role in determining the sampling efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Xudong Wang, Yao Chen
Summary: This article investigates the joint influence of expanding medium and constant force on particle diffusion. By starting from the Langevin picture and introducing the effect of external force in two different ways, two models with different force terms are obtained. Detailed analysis and derivation yield the Fokker-Planck equations and moments for the two models. The sustained force behaves as a decoupled force, while the intermittent force changes the diffusion behavior with specific effects depending on the expanding rate of the medium.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
