Article
Mathematics, Interdisciplinary Applications
Lan Zhang, Changwei Huang, Haihong Li, Qionglin Dai, Junzhong Yang
Summary: Migration has been shown to promote the evolution of cooperation in evolutionary games. The migration direction of individuals can be influenced by the trends of their neighbors rather than just their positions. Introducing different directional migration models can significantly enhance cooperation, with optimal migration speeds maximizing cooperation levels within the population.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Biology
Arne Traulsen, Nikoleta E. Glynatsi
Summary: Evolutionary game theory is an interdisciplinary subject that extends beyond biology, attracting mathematicians, social scientists, and computer scientists. The field has the potential for convergence or continued cross-fertilization between different disciplines, as insights are discovered and applied in various fields. The popularity of evolutionary game theory lies in its explanatory power and intuitive models.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2023)
Article
Multidisciplinary Sciences
Kaloyan Danovski, Markus Brede
Summary: This study proposes an evolutionary model for the emergence of shared linguistic convention in a population of agents using complex networks. Through agent-based simulations, the study shows a process of convergence towards a common language and explores the impact of the underlying network topology on its dynamics. The study finds that small-world effects accelerate convergence but do not affect the communicative efficiency of common languages. Additionally, the study differentiates between vertical and oblique transmission as learning methods and concludes that vertical transmission leads to faster convergence and higher communicability. The study also demonstrates an exclusion effect in adaptive network settings where agents attempt to reconnect with better communicators, leading to the formation of core-periphery networks.
Article
Mathematics, Interdisciplinary Applications
Yong Shen, Wei Lei, Hongwei Kang, Mingyuan Li, Xingping Sun, Qingyi Chen
Summary: In public goods games, rewards have been shown to be an effective mechanism for sustaining cooperation. However, pure cooperators become second-order free-riders because they are not willing to bear additional costs. To address this issue, introducing a tax mechanism can effectively incentivize cooperation.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Mathematics, Applied
Jinming Du, Ziren Wu
Summary: This study explores the emergence of cooperation between individuals in complex networked systems. Using the mathematical framework of evolutionary game theory and considering the dynamic changes in social networks, the researchers analyze the coevolution of strategy and network structure. They find that active self-recommendation by cooperators promotes cooperation, while higher self-recommendation intensity by defectors is detrimental to cooperation. Additionally, the competition between both sides leads to an increasing adjustment cycle.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Mathematics, Interdisciplinary Applications
Lixuan Cao, Bin Wu
Summary: This work focuses on a dynamic strategy updating model with payoff-dependent environmental feedback, identifying conditions for stable internal equilibria. Results indicate that sensitivity of environmental degradation rates to defector's payoffs promotes cooperation, while sensitivity of enhancement rates to cooperator's payoffs inhibits cooperation. The relative speed of environmental and strategy dynamics has a qualitative influence on the overall system dynamics.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Mathematics, Interdisciplinary Applications
Jinxin Zhang, Meng Wu
Summary: In the blockchain network, individual participants cooperate by paying costs to maintain long-term stability, leading to a competitive game scenario. Researchers analyzed how participant behavior evolves with costs and payoffs, and its impact on the normal growth of the blockchain.
Article
Mathematics, Interdisciplinary Applications
Tianyu Ren, Junjun Zheng
Summary: Altruistic sanctions play a crucial role in promoting cooperation in human society, and introducing a tolerance-based expulsion mechanism can significantly enhance cooperation, stabilize it under negative conditions, and determine the optimal threshold for implementation of expulsion.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Mathematics, Applied
Bin Pi, Ziyan Zeng, Minyu Feng, Juergen Kurths
Summary: Evolutionary game on complex networks offers a fresh perspective for examining and predicting group decision-making behavior in interactive environments. This study investigates the impact of players' conformity and profit-seeking tendencies on the evolution of cooperation in multiple games. By introducing player similarity and considering the influence of multiple games, the researchers propose two different strategy-updating rules and explore the evolutionary process, including strategy updating, type transformation, and dynamic evolution of the network structure. The simulation results on scale-free and regular networks support the validity of the proposed model, offering insights into strategy transition, type transition, and network topology properties.
Article
Mathematics, Applied
Yuji Zhang, Ziyan Zeng, Bin Pi, Minyu Feng
Summary: The networked evolutionary game theory explores the emergence of cooperative behaviors in the real world. This study investigates a revenge-based prisoner's dilemma game on square-lattice and small-world networks to understand its impact on cooperation behaviors. The simulations demonstrate the evolution of cooperation frequency and the dynamics of revengeers and sufferers over time. This work helps to overcome social dilemmas and sheds light on the study of evolutionary games with revengers and sufferers.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Mathematics, Interdisciplinary Applications
Kai Xie, Xingwen Liu, Huazhang Wang, Yulian Jiang
Summary: This paper investigates the evolution of the public goods game with multiple heterogeneities, finding that the combination of a modified punishment mechanism and strategy updating rule can promote cooperation density in both multi-heterogeneity and homogeneity models.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Mathematical & Computational Biology
Huan Zhao, Xi Chen
Summary: This study attempts to analyze the dynamic propagation process of knowledge-sharing in interdisciplinary research teams based on game theory. A multi-symmetry evolution game model is built to examine the impact of decision-making strategies on knowledge-sharing among team members. The analysis highlights the importance of mutual cooperation and trust in fostering knowledge-sharing. Reasonable suggestions are provided for addressing challenges in building and developing interdisciplinary research teams.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2023)
Article
Physics, Multidisciplinary
Tian Guo, Zhixue He, Lei Shi
Summary: Individual migration has often been overlooked in previous studies on altruistic punishment. This study explores the evolution of altruistic punishment in a mobile population and finds that migration prioritizing potential benefits contributes to population clustering and promotes the flourishing of altruistic punishment.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Physics, Multidisciplinary
Liming Zhang, Haihong Li, Qionglin Dai, Junzhong Yang
Summary: This study investigates the promotion of cooperation in a population that migrates based on the comparison between local and global environments. The results show that cooperation can be significantly enhanced through the clustering of cooperators and the coalescence of cooperator clusters.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Physics, Multidisciplinary
Ya-Shan Chen, Ying-Ting Lin, Ming-Jian Fu, Chi Xiong, Daxing Xiong
Summary: The study introduces directionality and asymmetry into evolutionary game theory and proposes new mechanisms for individual game relationships, revealing optimal conditions for cooperation in the game.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Mechanics
Han-Xin Yang, Zhi-Xi Wu
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
(2018)
Article
Physics, Multidisciplinary
Han-Xin Yang, Jing Yang
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2019)
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)