Article
Multidisciplinary Sciences
Miguel A. Gonzalez Casado, Angel Sanchez, Maxi San Miguel
Summary: In this work, the authors assess the role of the adaptation of the interaction network among agents in reaching global coordination and equilibrium selection. They find that the system exhibits fragmentation before reaching full coordination, but coevolution enhances the selection of payoff-dominant equilibrium in a coordination game with risk. Moreover, there is an intermediate range of plasticity values where the system fully coordinates on a single component network.
SCIENTIFIC REPORTS
(2023)
Article
Humanities, Multidisciplinary
Nikoleta E. Glynatsi, Vincent A. Knight
Summary: This study explores the research topics and collaborative behavior of authors in the field of the Prisoner's Dilemma using topic modeling and graph theoretic analysis. Five main research topics were identified, including human subject research, biological studies, strategies, network evolution dynamics, and modeling as a Prisoner's Dilemma game. The results showed that the Prisoner's Dilemma field is of continued interest and is more collaborative compared to other game theoretic fields.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2021)
Article
Multidisciplinary Sciences
David Andersson, Sigrid Bratsberg, Andrew K. Ringsmuth, Astrid S. de Wijn
Summary: The challenge of sustainable and just management of large-scale common-pool resources requires sufficient cooperation and behavioral change to establish a pro-conservation norm within the sociopolitical environment. The dynamics of behavioral change in structured networks exposed to global external influence show that polarization, while temporary, can impact the speed of convergence to a final consensus. High connectivity and a favorable environment are crucial for rapidly achieving final consensus.
SCIENTIFIC REPORTS
(2021)
Article
Multidisciplinary Sciences
T. S. Kozitsina, I. Kozitsin, I. S. Menshikov
Summary: This paper proposes a symmetrical quantal response equilibrium (QRE) in the Prisoner's Dilemma game and investigates its properties through comparison with the Nash equilibrium and testing against experimental data. The results suggest that this equilibrium can describe high levels of cooperation and there exists an intersection between Nash and QRE at certain levels of rationality.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Artificial Intelligence
Daniel Blanck-Kahan, Gerardo Ortiz-Cervantes, Valentin Martinez-Gama, Hector Cervantes-Culebro, J. Enrique Chong-Quero, Carlos A. Cruz-Villar
Summary: This article proposes a double strategy using Differential Evolution and Deep Neural Network to optimize the gains of a cascaded PI controller in a five-bar parallel robot, aiming to minimize trajectory position error. The results show that the Deep Neural Network exhibits good generalization and robustness to different trajectories and mass changes.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Multidisciplinary Sciences
Giacomo Livan, Giuseppe Pappalardo, Rosario N. Mantegna
Summary: In this study, we analyze the user behavior on the Stack Overflow platform and find that users tend to specialize in narrow or broad topic sets. We associate the emergence of these behaviors with the platform's reputation system and find that specialization is statistically associated with a higher ability to provide the best answers to questions.
SCIENTIFIC REPORTS
(2022)
Article
Mathematics
Xiaopeng Li, Zhonglin Wang, Jiuqiang Liu, Guihai Yu
Summary: Influence has a profound impact on a player's behavior, and the interactions among networks are deemed more important than isolated ones. This study focuses on whether a setup that stimulates cooperation in spatial prisoner's dilemma games can be achieved by the co-evolution of strategy imitation and interdependence networks structures. Results show that influence-based self-organization can facilitate cooperation, even in unfavorable conditions. The spontaneous emergence of connections between interdependence networks plays a key role in alleviating social dilemmas. Adjusting the corresponding links between interdependence networks to random ones can block the evolution of cooperation, but it still outperforms relying on simple spatial reciprocity on an isolated lattice.
Article
Biology
Siobhan M. Mattison, Neil G. G. MacLaren, Chun-Yi Sum, Mary K. K. Shenk, Tami Blumenfield, Katherine Wander
Summary: This paper compares cooperative networks in two communities in Southwest China with different kinship norms and institutions, revealing differences based on gendered cooperative activities. The network structures vary based on prevailing kinship norms and the type of gendered cooperative activity, highlighting the importance of considering gender and cultural context in understanding variation in social relationships.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2023)
Review
Plant Sciences
Vittorio Venturi, Cristina Bez
Summary: Next-generation sequencing and computational biology have identified various bacterial groups in plant microbiomes and the mechanisms of cell-cell interactions between bacteria. Research on biotic cell-cell interactions among bacteria in plant microbiomes needs to be accelerated to drive progress in fundamental sciences and translational agriculture for sustainable cultivation of economically important crops.
TRENDS IN PLANT SCIENCE
(2021)
Article
Engineering, Multidisciplinary
Zaiben Sun, Xiaojie Chen, Attila Szolnoki
Summary: This study investigates how to optimally allocate incentive budget to enhance cooperation in structured populations. By using the pair approximation approach, the dynamical equation for describing the evolutionary dynamics of cooperation is derived. Two optimal incentive allocation problems are formulated based on different objective functions, and the optimal incentive allocation protocols are theoretically derived. The results show that the obtained protocols are sensitive to the efficiency ratio of reward to punishment.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Flavio L. Pinheiro, Jorge M. Pacheco, Francisco C. Santos
Summary: The study found that a decline in overall levels of cooperation is observed when the population transitions from strong to weak exploration rates. However, if the decay rate of highly connected individuals is lower than that of less connected individuals, the population is able to achieve higher levels of cooperation. Minor differences in selection intensities and individual exploration rates can result in major differences in the observed collective dynamics.
ROYAL SOCIETY OPEN SCIENCE
(2021)
Article
Multidisciplinary Sciences
Nihal Koduri, Andrew W. Lo
Summary: In this study, an evolutionary model was constructed to investigate the reproduction of two types of individuals under random environmental conditions. The evolutionarily dominant behavior was found to maximize the number of offspring of each type while minimizing the correlation between the number of offspring of each type towards -1. Several examples were provided to demonstrate how correlation can be used to explain the evolution of cooperation.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Computer Science, Information Systems
Long Chen, Feilong Tang, Xu Li, Jiacheng Liu, Yanqin Yang, Jiadi Yu, Yanmin Zhu
Summary: This paper investigates how to optimize the delay in remote sensing satellite networks based on cooperation transmission. It proposes a cooperation capability model and a delay-optimal cooperation transmission scheme, which show effective and efficient performance in simulations.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Biochemistry & Molecular Biology
Joanna F. D. Hagen, Claudia C. Mendes, Shamma R. Booth, Javier Figueras Jimenez, Kentaro M. Tanaka, Franziska A. Franke, Luis Baudouin-Gonzalez, Amber M. Ridgway, Saad Arif, Maria D. S. Nunes, Alistair P. McGregor
Summary: The study found significant differences in the morphology of epandrial posterior lobes and claspers of male individuals of the Drosophila simulans species clade, likely influenced by sexual selection. Through analysis of introgression lines and RNA-seq, new genes involved in the development and evolution of genital structures were identified, shedding light on the key genes regulating these evolutionary processes.
MOLECULAR BIOLOGY AND EVOLUTION
(2021)
Article
Humanities, Multidisciplinary
Sarah M. Leisterer-Peoples, Susanne Hardecker, Joseph Watts, Simon J. Greenhill, Cody T. Ross, Daniel B. M. Haun
Summary: Research indicates that humans in cultures around the world engage in rule-based games, but there is limited understanding of the content and structure of these games. By providing ethnographic and historical information on games played in Austronesian cultural groups, this study aims to help researchers explore cross-cultural variations in the cooperativeness of games.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2021)
Article
Mathematics, Applied
Attila Szolnoki, Matjaz Perc
Summary: The self-protection of alliances is crucial for maintaining biodiversity in the face of natural selection. Two-species alliances can either defeat each other or exchange positions through inner dynamics. The four-species model shows diverse behaviors depending on the characteristics of inner invasions and the intensity of site exchanges. In cases where the inner invasion is biased, three-member rock-scissors-paper-type solutions emerge. Interestingly, if the oppressed species engage in more intensive site exchanges, they can become a winning pair and dominate the parameter space.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Mathematics, Interdisciplinary Applications
Junpyo Park, Xiaojie Chen, Attila Szolnoki
Summary: In a diverse population, competitors can form alliances to ensure stable coexistence against invasion. We studied a Lotka-Volterra model of eight-species and found that equally strong alliances were more likely to prevail. However, there were regions where symmetry was broken and a solution dominated by seven species emerged. Finite-size effects could also prevent observing the valid solution in a small system.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Mathematics, Applied
Luo-Luo Jiang, Zhi Chen, Matjaz Perc, Zhen Wang, Jurgen Kurths, Yamir Moreno
Summary: Collective risk social dilemmas, such as climate change mitigation and overuse of natural resources, are pressing global challenges. Previous research has examined this problem as a public goods game (PGG) where a dilemma arises between short-term interests and long-term sustainability. This study explores the effectiveness of costly punishment in enforcing cooperation through human experiments and finds that the underestimation of the risk of being punished plays a crucial role. Additionally, it discovers that high fines not only deter free riders but also demotivate generous altruists.
Article
Mathematics, Applied
Uros Barac, Matjaz Perc, Marko Gosak
Summary: We investigate collective failures in biologically realistic networks with coupled excitable units using the FitzHugh-Nagumo model. We examine different factors such as coupling strength, bifurcation distances, and aging scenarios that contribute to collective failure. Our findings show that targeting high-degree nodes for inactivation leads to the longest global activity in the network, consistent with previous results. However, we also demonstrate that the most efficient strategy for collective failure depends on both coupling strength and the distance from the bifurcation point to oscillatory behavior.
Article
Mathematics, Interdisciplinary Applications
Tugba Palabas, Joaquin J. Torres, Matjaz Perc, Muhammet Uzuntarla
Summary: An increasing amount of evidence suggests that astrocytes, an abundant type of glial cells in the nervous system, not only support neurons structurally and metabolically, but also modulate neuronal and synaptic functions. However, their role in information processing, especially in the presence of noise, remains unclear. This study investigates the phenomenon of stochastic resonance in neuronal dynamics and shows that astrocytes can enhance the detection of weak signals in the presence of noise, indicating their potential role in noisy neuronal information processing.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Mathematics, Interdisciplinary Applications
Atiyeh Bayani, Sajad Jafari, Hamed Azarnoush, Fahimeh Nazarimehr, Stefano Boccaletti, Matjaz Perc
Summary: Transitions from incoherent to coherent dynamical states can be observed in various real-world networks, and they can be explosive or continuous. The nature of the transition changes depending on the initial conditions, and the critical coupling strength for explosive synchronization also depends on the initial conditions.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Multidisciplinary Sciences
Atefeh Ahmadi, Sourav Roy, Mahtab Mehrabbeik, Dibakar Ghosh, Sajad Jafari, Matjaz Perc
Summary: This paragraph discusses the duopoly Stackelberg model in game theory, where a leader and a follower firm compete in the market to maximize profit. Real-world markets can exhibit chaotic behaviors and unpredictable changes. Taking into account the heterogeneity of the firms, a Stackelberg model with heterogeneous players and marginal costs is proposed. The equilibrium points, including the Nash equilibrium, are calculated and their stability is analyzed. Different parameters are explored to understand the dynamics through bifurcation diagrams, Lyapunov exponents spectra, and Kaplan-Yorke dimension. By combining state feedback and parameter adjustment methods, the chaotic solutions of the model are tamed and it converges to the Nash equilibrium.
Article
Multidisciplinary Sciences
Arthur A. B. Pessa, Matjaz Perc, Haroldo V. Ribeiro
Summary: Cryptocurrencies are the latest innovation in finance, with significant impact on social, technological, and economic aspects. Previous research has focused on a few cryptocurrencies and ignored the influence of cryptocurrency age and market capitalization on price returns. This study comprehensively investigates large price variations in over 7000 digital currencies and explores whether price returns change with cryptocurrency market growth. The findings show that price returns follow power-law distributions and positive returns are more likely than negative ones. Furthermore, changes in power-law exponents are often related to cryptocurrency age and market capitalization or only to age, indicating the complex nature of cryptocurrency price movements.
SCIENTIFIC REPORTS
(2023)
Article
Physics, Multidisciplinary
I. Samoylenko, D. Aleja, E. Primo, K. Alfaro-Bittner, E. Vasilyeva, K. Kovalenko, D. Musatov, A. M. Raigorodskii, R. Criado, M. Romance, D. Papo, M. Perc, B. Barzel, S. Boccaletti
Summary: A wealth of evidence shows that real-world networks have the small-world property and most social networks exhibit the six degrees of separation, where individuals are within six connections of each other. However, the reason behind the ultrasmall-world organization of social networks is still unknown. This study demonstrates that the six degrees of separation is a feature of equilibrium state in networks, where individuals balance their aspiration for centrality and the costs of forming and maintaining connections.
Article
Mathematics, Applied
Chaoqian Wang, Attila Szolnoki
Summary: Due to limited cognitive skills or emotional reasons, players may stick to their current strategies instead of choosing more promising options. In this study, we explore the consequences of this inertia in a spatial public goods game model with a focus on weak selection. By using the identity-by-descent method, we derive analytical forms of the critical synergy factor r*, which determines the favorability of cooperation. Our results show that inertia hinders cooperation due to the decelerated coarsening process under weak selection. Interestingly, the critical synergy conditions under different updating protocols can be linked by the extreme limits of the inertia factor. The robustness of our findings is confirmed through calculations on different lattices and group sizes, as well as Monte Carlo simulations.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Mathematics, Interdisciplinary Applications
Chaoqian Wang, Wenqiang Zhu, Attila Szolnoki
Summary: This article investigates the effects of updating passivity and self-interaction on the evolution of cooperation under weak selection. It finds that when the two factors are equally strong, self-interaction promotes cooperation more than updating passivity inhibits it. However, when the weight of updating passivity increases more rapidly, non-monotonous cooperation-supporting effects are observed.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Mathematics, Applied
Li-Feng Hou, Gui-Quan Sun, Matjaz Perc
Summary: The spatiotemporal heterogeneity of human activities plays a significant role in vegetation patterns, enhancing diversity and preventing vegetation desertification.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2023)
Review
Biology
Chengyi Xia, Juan Wang, Matjaz Perc, Zhen Wang
Summary: Reputation and reciprocity are crucial mechanisms in promoting prosocial behavior in human societies. Recent research at the intersection of physics and evolutionary game theory has examined these mechanisms, focusing on image scoring and different forms of reciprocity. The study explores the dynamics of reputation and reciprocity and their impact on cooperation. It considers various models and experimental evidence to understand the evolution of cooperation. The review concludes with promising directions for future research in this field.
PHYSICS OF LIFE REVIEWS
(2023)
Editorial Material
Biology
Marko Gosak, Marko Milojevic, Maja Duh, Kristijan Skok, Matjaz Perc
PHYSICS OF LIFE REVIEWS
(2023)
Article
Multidisciplinary Sciences
Shengxian Wang, Xiaojie Chen, Zhilong Xiao, Attila Szolnoki, Vitor V. Vasconcelos
Summary: The application of incentives, such as reward and punishment, is a frequently used method to promote cooperation among individuals. This study examines the optimal incentive protocols for cooperation in a structured population and establishes an index function to measure the cost of implementation. The results show that the optimal rewarding and punishing schemes are identical and time-invariant, providing a rigorous basis for the use of incentives in game theory.
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2023)
