A5100422246- Evolutionary Game Theory and Cooperation
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Experimental Behavioral Economics Studies
- Evolution and Genetic Dynamics
- Mathematical and Theoretical Epidemiology and Ecology Models
- Advanced Graph Neural Networks
- Slime Mold and Myxomycetes Research
- Nonlinear Dynamics and Pattern Formation
- Distributed Control Multi-Agent Systems
- Adaptive Control of Nonlinear Systems
- Traffic Prediction and Management Techniques
- Transportation Planning and Optimization
- Misinformation and Its Impacts
- High-Velocity Impact and Material Behavior
- Evolutionary Psychology and Human Behavior
- Data Visualization and Analytics
- Control and Dynamics of Mobile Robots
- Structural Analysis of Composite Materials
- Human Mobility and Location-Based Analysis
- Building materials and conservation
- Topic Modeling
- Spaceflight effects on biology
- Graph Theory and Algorithms
- Data-Driven Disease Surveillance
Northwestern Polytechnical University
2016-2025
Beijing University of Technology
2025
Institute of Electronics
2025
Ningbo University
2024
Huazhong University of Science and Technology
2023
Naval Aeronautical and Astronautical University
2023
State Grid Corporation of China (China)
2023
Huanghuai University
2023
Central China Normal University
2022
Yunnan University of Finance And Economics
2022
Besides the structure of interactions within networks, also between networks are outmost importance. We therefore study outcome public goods game on two interdependent that connected by means a utility function, which determines how payoffs both jointly influence success players in each individual network. show an unbiased coupling allows spontaneous emergence network reciprocity, is capable to maintain healthy levels cooperation even extremely adverse conditions. The mechanism, however,...
Abstract Recent research has identified interactions between networks as crucial for the outcome of evolutionary games taking place on them. While consensus is that interdependence does promote cooperation by means organizational complexity and enhanced reciprocity out reach isolated networks, we here address question just how much there should be. Intuitively, one might assume more better. However, show in fact only an intermediate density sufficiently strong warrants optimal resolution...
Traditionally, the evolution of cooperation has been studied on single, isolated networks. Yet a player, especially in human societies, will typically be member many different networks, and those networks play roles evolutionary process. Multilayer are therefore rapidly gaining popularity as more apt description networked society. With this motivation, we here consider two-layer scale-free with all possible combinations degree mixing, wherein one network layer is used for accumulation...
Significance Collective risks trigger social dilemmas that require balancing selfish interests and common good. One important example is mitigating climate change, wherein without sufficient investments, worldwide negative consequences become increasingly likely. To study the aspects of this problem, we organized a game experiment reveals how group size, communication, behavioral type drive prosocial action. We find communicating sentiment outlook leads to more positive outcomes, even among...
Besides the topological structure, there are additional information, i.e., node attributes, on top of plain graphs. Usually, these systems can be well modeled by attributed graphs, where nodes represent component actors, a set attributes describe users' portraits and edges indicate their connections. An elusive question associated with graphs is to study how clusters common internal properties form evolve in real-world networked great individual diversity, which leads so-called problem graph...
From fireflies to cardiac cells, synchronization governs important aspects of nature, and the Kuramoto model is staple for research in this area. We show that generalizing oscillators dimensions higher than 2 introducing a positive feedback mechanism between coupling global order parameter leads rich novel scenario: transition explosive at all even dimensions, whilst it mediated by time-dependent, rhythmic, state odd dimensions. Such latter circumstance, particular, differs from other...
This article researches the adaptive fuzzy tracking control problem for uncertain nonlinear systems with multiple actuators and sensors faults. Compared previous studies, all states of system cannot be measured accurately in this due to existence faults, it brings significant difficulties design scheme. Moreover, faults external disturbance can also bring challenges controller design. To solve these problems, we different update laws relieve effects unknown disturbance, respectively....
The spontaneous emergence of patterns in nature, such as stripes and spots, can be mathematically explained by reaction-diffusion systems. These are often referred Turing to honor the seminal work Alan early 1950s. With coming age network science, with its related departure from diffusive nearest-neighbor interactions long-range links between nodes, additional layers complexity behind pattern formation have been discovered, including irregular spatiotemporal patterns. Here we investigate...
This paper proposes an adaptive fuzzy output feedback control approach for quadrotor unmanned aerial vehicles (QUAV) with stochastic disturbances, besides which we consider the unmeasurable states and unknown nonlinear functions. The QUAV system contains terms are not bounded differentiable. By combining It <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\hat {\rm \textbf {o}}$ </tex-math></inline-formula>...
Fuzzy clustering is one of the most popular approaches and has attracted considerable attention in many fields. However, high computational cost become a bottleneck which limits its applications large-scale problems. Moreover, fuzzy algorithms are sensitive to noise. To address these issues, novel algorithm, called fast based on anchor graph (FFCAG), proposed. The FFCAG algorithm integrates anchor-based similarity construction membership matrix learning into unified framework, such that...
In this article, an adaptive swarm control within saturated input based on the nonlinear coupling degree is proposed. Swarm a forward study in kinematics and dynamics of system. However, previous work can only manifest whether agents being connected or not, ignoring connection strength. As result, proposed, which more suitable for practical engineering than degree. Based degree, we put novel dynamics. Besides, effects saturation should be considered Therefore, introduce backstepping method...
Abstract Committed individuals, who feature steadfast dedication to advocating strong beliefs, values, and preferences, have garnered much attention across statistical physics, social science, computer science. This survey delves into the profound impact of committed individuals on dynamics that emerge from coordination games dilemma games. Through separate examinations their influence coordination, including conventions color games, one-shot settings, repeated vaccination this reveals...
Cooperation within asymmetric populations has garnered significant attention in evolutionary games. This paper explores cooperation evolution with weak and strong players, using a game model where players choose between defection. Asymmetry stems from different benefits for cooperators, their benefit ratio indicating the degree of asymmetry. Varied rankings parameters including asymmetry degree, costs, brought by give rise to scenarios prisoner’s dilemma (PDG) both player types, snowdrift...