Article
Psychology, Multidisciplinary
Mareike Klafka, Ulf Liszkowski
Summary: Research shows that by the age of 5, children already use lying as a strategy to manage their reputation. In an experiment, children stated to their peers that they had donated more stickers than they actually did, with no significant differences between conditions or towards ingroup and outgroup members.
FRONTIERS IN PSYCHOLOGY
(2021)
Editorial Material
Biology
S. Szamado, D. Balliet, F. Giardini, E. A. Power, K. Takacs
Summary: Large-scale non-kin cooperation is a unique element of human success, with reputation and gossip playing a crucial role in promoting cooperation. However, important details of reputation systems are still unclear despite decades of research.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2021)
Article
Mathematics, Applied
Ji Quan, Shihui Cui, Wenman Chen, Xianjia Wang
Summary: This paper proposes a new mechanism, reputation-based probabilistic punishment, to study its impact on the evolution of cooperation in the spatial public goods game model. Through extensive simulations, the results show that increasing the reputation threshold is beneficial for promoting and maintaining cooperation, while increasing the cost of being punished effectively encourages cooperative behaviors. Moreover, increasing the punishment intensity and fine can increase the cost of being punished and promote cooperation. In the structured population, the distributions of strategies, reputation, and payoff are mainly in the form of clusters.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
History & Philosophy Of Science
Stefaan Blancke
Summary: Science is a collaborative effort in which scientists need to assess the reliability of information and the competence and honesty of others. Scientists provide reasons to persuade their peers and demonstrate the justification of their beliefs and practices, managing their own reputation in the process. This analysis suggests that science constitutes a moral system, which has implications for its study and philosophy.
Article
Psychology, Developmental
Justin W. Martin, Sophia Martin, Katherine McAuliffe
Summary: The study found that third-party direct feedback punishment can increase fairness in children, especially among younger children.
DEVELOPMENTAL PSYCHOLOGY
(2021)
Article
Biology
Francesca Giardini, Daniele Vilone, Angel Sanchez, Alberto Antonioni
Summary: Partner choice can incentivize cooperation and honest communication, but may also have conflicting effects, especially in the context of inter-group competition.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2021)
Article
Biology
Miguel A. Fonseca, Kim Peters
Summary: The possibility of gossipers sharing false information poses a challenge to the idea of gossip improving cooperation in social groups. People tend to trust honest gossip more than dishonest gossip, but this does not always translate to favorable treatment for honest gossipers in practice.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2021)
Article
Biology
Tommaso Batistoni, Pat Barclay, Nichola J. Raihani
Summary: Third-party punishment and helping can both serve as signals of cooperative intent, but there is a higher investment in helping. Partner choice does not have a direct effect on investment in punishment or helping. Third-parties who invest more are more likely to be chosen in subsequent trust games, with the preference for higher investors being more pronounced in the help condition. Investments in third-party punishment or helping reliably signal trustworthiness.
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2022)
Article
Physics, Multidisciplinary
Youngsuk Mun, Seung Ki Baek
Summary: We developed a continuous model of indirect reciprocity and studied the effects of mutation in assessment rules. We found that the linear-order expansion led to singularity when applied to the cooperative norms that resist invasion of another norm. Therefore, we conducted a second-order analysis for the effects of mutation on one of the leading eight cooperative norms. Our study provides insights on how the characteristics of a social norm shape the response to its close variants appearing through mutation.
EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS
(2023)
Article
Biology
Catherine Molho, Junhui Wu
Summary: Punishment and reputation-based mechanisms are crucial in supporting human cooperation and countering offenses. Studies show that decision rules guiding different punishment tactics should consider both the benefits of changing behavior of others and the potential costs of retaliation.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2021)
Article
Psychology, Biological
Hirotaka Imada, Angelo Romano, Nobuhiro Mifune
Summary: Indirect reciprocity is an important driver of reputation-based cooperation, but there is mixed evidence on its scope. Some studies suggest that it is bounded by in-group membership, while others suggest it is unbounded. This study proposes a new perspective, the dynamic indirect reciprocity perspective, which integrates these two perspectives. The findings suggest that the cue of reputational consequences determines the perceived realm of indirect reciprocity and influences how individuals condition their cooperation.
EVOLUTION AND HUMAN BEHAVIOR
(2023)
Article
Computer Science, Theory & Methods
Radim Belohlavek
Summary: This article presents a viewpoint of fuzzification in fuzzy logic research practice, focusing on a significant phenomenon called fuzzifier's temptation and discussing its implications in the current stage of fuzzy logic development.
FUZZY SETS AND SYSTEMS
(2023)
Article
Psychology, Biological
Hirotaka Imada, Angelo Romano, Nobuhiro Mifune
Summary: Indirect reciprocity is a driving force behind reputation-based cooperation, but previous studies have conflicting evidence about its scope. Some studies suggest that people only display reputation-based cooperation towards in-group members, while others show that they also cooperate with out-group members, indicating that indirect reciprocity is unbounded. We propose a new perspective, the dynamic indirect reciprocity perspective, which integrates the bounded and unbounded views, and suggest a rigorous preregistered study to test hypotheses derived from this perspective.
EVOLUTION AND HUMAN BEHAVIOR
(2023)
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, Applied
Yan Bi, Hui Yang
Summary: The effective and objective measurement of reputation is crucial in based-reputation evolutionary game theory. The proposed novel evolutionary mechanism based on reputation consistent strategy times provides reasonable and timely rewards or punishments, promoting cooperation better than existing mechanisms. The simulation and analysis based on the prisoner's dilemma game model demonstrate that this mechanism can effectively promote cooperation and accelerate the evolutionary process, especially with a large reputation factor.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Computer Science, Artificial Intelligence
Peng Lu
EXPERT SYSTEMS WITH APPLICATIONS
(2017)
Article
Mathematics, Applied
Peng Lu, Shizhao Nie, Zheng Wang, Ziwei Jing, Jianwu Yang, Zhongxiang Qi, Wangmo Pujia
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2018)
Article
Mathematics, Applied
Peng Lu
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
(2018)
Article
Physics, Multidisciplinary
Shizhao Nie, Zheng Wang, Wangmo Pujia, Yuan Nie, Peng Lu
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2018)
Article
Mathematics, Applied
Peng Lu
APPLIED MATHEMATICS AND COMPUTATION
(2019)
Article
Physics, Multidisciplinary
Peng Lu, Shizhao Nie
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2019)
Article
Computer Science, Artificial Intelligence
Peng Lu, Hou Yang, Hao Li, Mengdi Li, Zhuo Zhang
Summary: This study uses agent-based modeling to explore the role of heroes during terrorist attacks, highlighting the importance of self-organizing crowd behaviors for civilian survival rates, and suggesting the significance of counter-terrorism emergency response training, swarm intelligence pathway, and heroic behaviors.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Peng Lu, Zhuo Zhang, Mengdi Li
Summary: Through agent-based modeling, this study investigates the forming process and evolutionary dynamics of online public opinions, examining the fitting and matching degrees between real cases and simulations. The model accurately captures the core mechanism of individual behaviors and precisely simulates the evolutionary dynamics of online cases in reality.
COMPLEX & INTELLIGENT SYSTEMS
(2021)
Article
Health Care Sciences & Services
Peishan Ning, Peixia Cheng, Jie Li, Ming Zheng, David C. Schwebel, Yang Yang, Peng Lu, Li Mengdi, Zhuo Zhang, Guoqing Hu
Summary: This study examined the characteristics and propagation of rumors during the early months of the COVID-19 pandemic in China. It found that rumors mainly originated from personal social media accounts and were positively associated with the severity of the epidemic. The release of correction articles was effective in reducing the proportion of rumor reports, while citizens' comments on rumors and correct information showed similar levels of negative sentiments.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Gang Zhang, Hao Li, Rong He, Peng Lu
Summary: This research conducted macro-level analysis and micro-level behavior studies on COVID-19 online collective actions based on the life cycle law. By using big data mining and Agent-Based Modeling, it successfully predicted individual behaviors of netizens and big data trends of specific online events.
COMPLEX & INTELLIGENT SYSTEMS
(2022)
Article
Computer Science, Cybernetics
Peng Lu, Dianhan Chen, Yan Li, Xiaoyong Wang, Shanping Yu
Summary: The campus shooting incident poses a challenge to social and public security, especially in vulnerable places like schools. By using an agent-based model, we found that increasing the number of building exits can provide more evacuation routes and reduce casualties. In addition, when the probability of hiding is greater than 40%, faster escape speed leads to higher safety.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Computer Science, Cybernetics
Peng Lu, Yan Li, Feier Wen, Dianhan Chen
Summary: Under common risks, such as mass shootings, people tend to be selfish and uncooperative, leading to increased deaths and injuries. However, if individuals are encouraged to courageously fight against shooters, the impact can be significantly reduced. By using agent-based modeling and computational methods, we found that social safety has been enhanced, resulting in reduced survival chances for shooters, increased civilian survival rates, and improved chances of survival for heroes themselves.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Peng Lu, Mengdi Li, Sen Fu, Chiamaka Henrietta Onyebuchi, Zhuo Zhang
Summary: We explore the initial process of unity in ancient China using agent-based modeling (ABM), focusing on the formation of the Unity pattern. We have built a general ABM model for the entire chaotic dynasty, but the mechanisms and outcomes of the two periods are different. By revising the war costs, alliance rules, and war behaviors based on historical records, we can accurately simulate the effects of related factors and obtain insights into the dynamics of history.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Peng Lu, Dianhan Chen, Gang Zhang, Jieying Ding
Summary: In the era of computational social science, this work exemplifies the integration of theory, big data, and simulations. The study focuses on the life cycle pattern of multiple coexisting online cases and proposes the Theory-Big Data-Simulation (TDS) analysis framework. By combining macro-level big data analysis and micro-level agent-based modeling, the behavior patterns of netizens are revealed and validated. The work not only contributes to understanding human behavior online but also has managerial implications and can inspire further research.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Peng Lu, Mengdi Li, Jiawen Lu, Zhuo Zhang
Summary: This article uses computational models to study the unification and fragmentation patterns in Chinese history. The authors use a multi-agent system model, consider the impact of key factors on historical trends, and obtain an optimal solution through simulations, revealing the internal mechanisms and statistical features of history. Additionally, the authors explore the non-linear effects of key factors using counterfactuals, deepening their understanding of civilization evolution.
CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY
(2023)
Article
Mathematics, Interdisciplinary Applications
Bo Li, Tian Huang
Summary: This paper proposes an approximate optimal strategy based on a piecewise parameterization and optimization (PPAO) method for solving optimization problems in stochastic control systems. The method obtains a piecewise parameter control by solving first-order differential equations, which simplifies the control form and ensures a small model error.
CHAOS SOLITONS & FRACTALS
(2024)
Article
Mathematics, Interdisciplinary Applications
Guram Mikaberidze, Sayantan Nag Chowdhury, Alan Hastings, Raissa M. D'Souza
Summary: This study explores the collective behavior of interacting entities, focusing on the co-evolution of diverse mobile agents in a heterogeneous environment network. Increasing agent density, introducing heterogeneity, and designing the network structure intelligently can promote agent cohesion.
CHAOS SOLITONS & FRACTALS
(2024)
Article
Mathematics, Interdisciplinary Applications
Gengxiang Wang, Yang Liu, Caishan Liu
Summary: This investigation studies the impact behavior of a contact body in a fluidic environment. A dissipated coefficient is introduced to describe the energy dissipation caused by hydrodynamic forces. A new fluid damping factor is derived to depict the coupling between liquid and solid, as well as the coupling between solid and solid. A new coefficient of restitution (CoR) is proposed to determine the actual physical impact. A new contact force model with a fluid damping factor tailored for immersed collision events is proposed.
CHAOS SOLITONS & FRACTALS
(2024)