Fuping Yang
Papers
1
Total Citations
7
H-Index
1
About
Fuping Yang is a researcher in artificial intelligence, with a particular focus on the intersection of emotional intelligence and autonomous agent behavior. Their work addresses a fundamental challenge in AI: how to make machines not just intelligent, but emotionally aware. In their most-cited paper, "Research on the Agent's Behavior Decision-making Based on Artificial Emotion" (2014, 7 citations), Yang proposed a novel fuzzy emotion model based on a particle system, enabling virtual agents to make more human-like decisions by simulating emotional states. This contribution is significant for advancing the development of truly interactive and empathetic robots. By integrating emotional modeling into agent decision-making, Yang's research helps bridge the gap between cold computation and the nuanced, affective reasoning that characterizes human intelligence. Their work lays important groundwork for future applications in human-robot interaction, virtual reality, and socially assistive robotics, where emotional responsiveness is key to user acceptance and effective communication.
Research Focus
Key Achievements
Top Papers
- 1