Article
Biochemical Research Methods
Anzhi Sheng, Aming Li, Long Wang
Summary: This study uses sequential temporal networks to characterize growing networked populations and extends the theory of evolutionary games to these temporal networks. It is found that under neutral drift, sequential temporal networks are more favorable for cooperation than static networks when cooperators form clusters or become hub nodes. This study emphasizes the importance of population growth in the real world and provides a high-accuracy approximation approach for analyzing evolution in real-life systems.
PLOS COMPUTATIONAL BIOLOGY
(2023)
Article
Multidisciplinary Sciences
Sourav Roy, Sayantan Nag Chowdhury, Prakash Chandra Mali, Matjaz Perc, Dibakar Ghosh
Summary: This paper explores the emergence of cooperation in biological, social, and economic systems, despite natural selection favoring defection. By studying a mathematical model and considering ecological signatures, the paper discovers a nonlinear evolutionary dynamics that can maintain biodiversity and explain the evolution of social order in human societies.
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
Mathematics, Applied
Lichen Su, Zhengzhi Yang, Bowen Zhou, Naitian Zhang, Yumeng Li
Summary: This paper investigates the impact of resource interaction between interdependent networks on public cooperation. The redistribution mechanism of payoffs between the upper and bottom networks based on the gap of payoffs leads to a non-monotonic influence on the cooperation level of the upper network, while network reciprocity fails on the bottom network. The behavior of sponsors and recipients within cooperators and defectors contributes to the equilibrium state, which is attributed to the evolution of correlated cooperator pairs between interdependent networks. Our results provide a theoretical analysis of group cooperation induced by resource interaction factors.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Physics, Multidisciplinary
Liming Zhang, Changwei Huang, Haihong Li, Qionglin Dai, Junzhong Yang
Summary: In the evolutionary games, players' strategy updates are influenced by motivations such as imitation, aspiration, and conformity. One of the three strategy-updating rules typically prevails in most parameter regions, but they can coexist in a small parameter region. Furthermore, alliances between conformity-driven and aspiration-driven cooperators can significantly boost cooperation levels during the evolution process.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Mathematics, Applied
Hirofumi Takesue
Summary: The study shows that playing evolutionary prisoner's dilemma games on dynamic two-layer multiplex networks with network dynamics can enhance cooperation, but significant asymmetry may arise when considering network multiplexity. This asymmetry can be eliminated with sufficiently fast link updating.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
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
Physics, Multidisciplinary
A. Zhuk, I Sendina-Nadal, I Leyva, D. Musatov, A. M. Raigorodskii, M. Perc, S. Boccaletti
Summary: The unique sequence of degrees in a network can be used to predict major shifts in the level of cooperation, but a simple rule to predict cooperation transitions on any network has not been found yet. The study demonstrates a simple and fast way to estimate evolutionary social dilemmas outcomes on arbitrary networks without actually playing the game.
NEW JOURNAL OF PHYSICS
(2021)
Article
Mathematics, Interdisciplinary Applications
Yu'e Wu, Zhipeng Zhang, Guoli Yang, Haixin Liu, Qingfeng Zhang
Summary: This study examines the impact of diversity on the spread of cooperation and finds that diversity, regardless of its origin, promotes the diffusion of cooperative behaviors. The diversity of individual internal attributes is more conducive to the formation of cooperative behaviors, and the influence of asymmetry on the results is discussed.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Mathematics, Applied
Ming Zhang, Xu Zhang, Cunquan Qu, Guanghui Wang, Xin Lu
Summary: Individual behaviors and social relations influence each other. A combination of appropriate reward and punishment mechanisms can promote cooperation's prosperity and produce inhomogeneities in social relations and individual influence, supporting the continued existence of cooperative behavior.
Article
Computer Science, Artificial Intelligence
Chao Lyu, Yuhui Shi, Lijun Sun, Chin-Teng Lin
Summary: This article proposes a novel algorithm for community detection in multiplex networks. The algorithm decomposes the problem into two parts, detecting specific community partitions for each component layer and finding the composite community structure shared by all layers. Experimental results demonstrate that the algorithm outperforms classical and state-of-the-art algorithms in community detection on multiplex networks.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2023)
Article
Physics, Fluids & Plasmas
Kaipeng Hu, Pengyue Wang, Junzhou He, Matjaz Perc, Lei Shi
Summary: This study investigates the interactions among individuals in different populations, finding that interactions across multiple populations can promote the evolution of cooperation depending on the level of interaction asymmetry. If interactions within and between populations are symmetric, the presence of multiple populations alone can promote the evolution of cooperation. Asymmetric interactions can further promote cooperation but at the expense of the coexistence of competing strategies.
Article
Engineering, Mechanical
Xiaojian Ma, Ji Quan, Xianjia Wang
Summary: The interplay between strategies and environments affects the evolution of cooperative behavior, and the reciprocity mechanism plays a significant role in avoiding the traps of social dilemmas.
NONLINEAR DYNAMICS
(2023)
Article
Computer Science, Information Systems
Jianyong Yu, Zekun Liu, Xue Han
Summary: This study focuses on the evolution of cooperation in social networks through interactions and influence propagation. The research finds that tighter interlayer interactions can significantly improve cooperation density, but have little impact on cooperation evolution in certain strategy games. Additionally, the trust of individuals has a smaller effect on cooperation diffusion in some games.
Article
Multidisciplinary Sciences
Elias Fernandez Domingos, Francisco C. Santos, Tom Lenaerts
Summary: Evolutionary Game Theory (EGT) is an important framework for studying collective behavior, combining ideas from evolutionary biology, population dynamics, and game theoretical modeling. EGTtools is an efficient hybrid C++/Python library that provides fast implementations of both analytical and numerical EGT methods. It is capable of analytically evaluating systems based on replicator dynamics, as well as evaluating any EGT problem using finite populations and large-scale Markov processes. It utilizes C++ and MonteCarlo simulations to estimate important indicators such as stationary or strategy distributions.
Article
Biology
Victor Garcia, Sebastian Bonhoeffer, Feng Fu
JOURNAL OF THEORETICAL BIOLOGY
(2020)
Article
Multidisciplinary Sciences
Katherine Royce, Feng Fu
Article
Multidisciplinary Sciences
Jonathan Meng, Feng Fu
ROYAL SOCIETY OPEN SCIENCE
(2020)
Article
Multidisciplinary Sciences
Matthew Jones, Scott D. Pauls, Feng Fu
Summary: Global coordination is essential to solving challenging collective action problems, recent empirical studies show that the presence of noisy autonomous agents can greatly improve human performance in solving network coordination problems. The efficacy of resolving color conflicts depends on the implementation of random behavior of agents and specific population characteristics.
Article
Economics
Kevin Hu, Feng Fu
Summary: This research examines the impacts of technology, policy, and markets on preferences for gig labor within the gig economy using a game-theoretical approach. The study presents new conceptual extensions to the replicator equation and models oscillating dynamics in two-player asymmetric bi-matrix games. It demonstrates how changing market conditions result in distinct evolutionary patterns across labor economies and analyzes the role of technology on the growth of the gig economy through a novel payoff framework.
Article
Physics, Multidisciplinary
Matthew Jones, Scott D. Pauls, Feng Fu
Summary: The study shows that in the distributed graph coloring problem, anti-coordination games and coordination games are equally difficult to solve, as they are dual problems and have specific individual stochastic decision-making rules.
NEW JOURNAL OF PHYSICS
(2021)
Article
Multidisciplinary Sciences
Xingru Chen, Feng Fu
Summary: China's massive lockdowns and travel restrictions have effectively controlled the spread of COVID-19. Analyzing changes in mobility patterns, we found that reduced mobility before and during the lockdown period had a significant impact on disease transmission. Highly coordinated nationwide lockdowns played a crucial role in mitigating and controlling early-stage outbreaks and preventing a massive health crisis.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2022)
Article
Physics, Multidisciplinary
Xingru Chen, Long Wang, Feng Fu
Summary: The advent of zero-determinant (ZD) strategies has transformed the study of reciprocity and cooperation in iterated prisoner's dilemma games. Our work provides intuitive geometric relationships between different classes of ZD strategies and nontrivial geometric interpretations of their specific parameterizations. The adaptive dynamics of ZD strategies reveals the unexpected connection between general ZD strategies and equalizers, and sheds light on the simple but elegant geometry of ZD strategies that has been previously overlooked.
NEW JOURNAL OF PHYSICS
(2022)
Article
Multidisciplinary Sciences
Longmei Shu, Feng Fu
Summary: This article discusses the feedback relationship between strategies and the environment in social-ecological, evolutionary ecological, and psychological-economic systems. It also proposes a solution to the dilemma of using common resources through replicator dynamics with feedback-evolving games. The research shows that persistent oscillations of strategy abundance can be achieved by designing appropriate switching control laws.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2022)
Article
Biology
Elizabeth A. Tripp, Feng Fu, Scott D. Pauls
Summary: Biological systems have various time-keeping mechanisms, and understanding the evolutionary development of these mechanisms is crucial. This study introduces a new evolutionary game theoretic framework to model the behavior and evolution of systems of coupled oscillators, shedding light on the relationship between synchronization and connectivity.
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2022)
Editorial Material
Biology
Xingru Chen, Feng Fu
PHYSICS OF LIFE REVIEWS
(2023)
Article
Multidisciplinary Sciences
Xingru Chen, Feng Fu
Summary: Recent theory suggests that extortioners using the zero-determinant (ZD) strategy can claim an unfair share in the Iterated Prisoner's Dilemma. However, experiments show that human players often resist extortion due to concerns of fairness, causing extortioners to suffer greater losses. This study reveals fair-minded strategies that can defeat extortion and promote cooperation, ultimately leading to a just and cooperative society.
Article
Multidisciplinary Sciences
Ho-Chun Herbert Chang, Brooke Harrington, Feng Fu, Daniel N. Rockmore
Summary: This study explores the role of professional intermediaries in the evasion of sanctions by oligarchs and suggests that targeting these intermediaries may be more effective in disrupting dark finance flows than sanctions on the oligarchs themselves.
Article
Humanities, Multidisciplinary
Matthew Jones, Antonio D. Sirianni, Feng Fu
Summary: The median voter theorem suggests that competing candidates tend to move towards the center of the ideological distribution to maximize vote share, regardless of voter preferences. However, in the age of polarization, where voters are more inclined towards extreme positions, this theorem may no longer hold true.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2022)
Article
Humanities, Multidisciplinary
Ho-Chun Herbert Chang, Feng Fu
Summary: By analyzing the elite circles formed around Fields Medalists, the study reveals the flow of elite mathematicians between countries and linguistic-ethnic identities. It shows an increase in pluralism among major countries in the mathematics field, although Arabic, African, and East Asian identities remain under-represented at the elite level.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2021)
