Papers
2
Total Citations
13
H-Index
2
About
Si Liu is an emerging researcher working at the intersection of artificial intelligence, cognitive science, and autonomous systems. Their work explores how machines can be designed to reason and behave in more human-like ways, with a particular focus on affective computing and multi-agent dynamics. Liu's most notable contribution, "An affective decision-making model with applications to social robotics" (2019), proposes a framework for embedding emotional reasoning into robotic systems — a significant step toward creating robots capable of nuanced, context-sensitive interactions with humans. This work has garnered 9 citations, reflecting growing interest in emotionally intelligent machines within the robotics community. Complementing this, Liu's research on "Competition and cooperation in a community of autonomous agents" (2019) examines how self-directed agents negotiate complex social environments, balancing self-interest with collaborative behavior — a challenge central to the development of scalable multi-agent systems. With 4 citations, this work contributes to foundational questions in autonomous systems design. Together, Liu's publications signal a thoughtful research trajectory aimed at building AI that is not only intelligent, but socially and emotionally aware.
Research Focus
Key Achievements
Top Papers
- 1An affective decision-making model with applications to social robotics9 citations · 2019
- 2Competition and cooperation in a community of autonomous agents4 citations · 2019