A5036718519- Evolutionary Game Theory and Cooperation
- Building Energy and Comfort Optimization
- Thermoregulation and physiological responses
- Climate Change and Health Impacts
- Opinion Dynamics and Social Influence
- Experimental Behavioral Economics Studies
- Infrared Thermography in Medicine
- Refrigeration and Air Conditioning Technologies
- Multi-Criteria Decision Making
- Complex Systems and Time Series Analysis
- Air Quality Monitoring and Forecasting
- Air Quality and Health Impacts
- Evolution and Genetic Dynamics
- Heat Transfer and Optimization
- Sustainable Building Design and Assessment
- Urban Heat Island Mitigation
- Infection Control and Ventilation
- Complex Network Analysis Techniques
- Game Theory and Applications
- Indoor Air Quality and Microbial Exposure
- Geothermal Energy Systems and Applications
- Evolutionary Psychology and Human Behavior
- Integrated Energy Systems Optimization
- Occupational Health and Performance
- Mathematical and Theoretical Epidemiology and Ecology Models
Shaanxi Normal University
2021-2025
North China Electric Power University
2015-2024
Sichuan University
2023-2024
Soochow University
2023
Ningxia University
2023
Shanxi Normal University
2023
Xi'an University of Architecture and Technology
2021
Westmead Institute for Medical Research
2019
Tianjin University
2011-2013
Fuzhou University
2011
High-temperature weather appears in high frequency, big strength, and long duration the summer. It is therefore important to study effects of high-temperature on sleep quality appetite. Ten healthy college students were selected as subjects. The experiment conditions divided by daily maximum temperature into 28 °C, 32 36 38 °C. objective was measured an intelligent monitoring belt, subjective a questionnaire survey. appetites assessed visual analog scale (VAS), meal weight time. For quality,...
Abstract Behavioral experiments on the trust game have shown that and trustworthiness are commonly seen among human beings, contradicting prediction by assuming Homo economicus in orthodox Economics. This means some mechanism must be at work favors their emergence. Most previous explanations, however, need to resort exogenous factors based upon imitative learning, a simple version of social learning. Here, we turn paradigm reinforcement where individuals revise strategies evaluating...
Cooperation is a self-organized collective behavior. It plays significant role in the evolution of both ecosystems and human society. Reinforcement learning different from imitation learning, offering new perspective for exploring cooperation mechanisms. However, most existing studies with public goods game (PGG) employ self-regarding setup or are on pairwise interaction networks. Players real world, however, optimize their policies based not only histories but also coplayers, played group...
Extensive behavioral experiments reveal that conditional cooperation is a prevalent phenomenon. Previous game-theoretical studies have predominantly relied on hard-manner models, where triggered only upon reaching specific threshold. However, this approach contrasts with the observed flexibility of human behavior, individuals adapt their strategies dynamically based surroundings. To capture adaptability, we introduce soft form by integrating Q-learning algorithm from reinforcement learning....
With the continuous development of social economy, residents living in rural China pay more attention to heating quality and require a comfortable healthy indoor thermal environment winter. The existing traditional methods cannot meet high-quality demands. Although new based on clean energy can satisfy needs terms saving, environmental protection comfort, they have not been widely used due their high initial investment, misunderstanding principal functions perceived difficulty application....
Abstract Decision-making often overlooks the feedback between agents and environment. Reinforcement learning is widely employed through exploratory experimentation to address problems related states, actions, rewards, decision-making in various contexts. This work considers a new perspective, where individuals continually update their policies based on interactions with spatial environment, aiming maximize cumulative rewards learn optimal strategy. Specifically, we utilize Q-learning...