Kang Yong Eo
Papers
1
Total Citations
3
H-Index
1
About
Kang Yong Eo is a researcher whose work lies at the intersection of evolutionary robotics and cognitive science, with a particular focus on how artificial agents can develop a theory of mind. His most-cited paper, "Evolutionary conditions for the emergence of robotic theory of mind with multiple goals" (2013), explores the computational and evolutionary prerequisites for robots to model the intentions and beliefs of others—a cornerstone of human social intelligence. By simulating how multiple conflicting goals drive the need for mental state attribution, Eo’s work provides foundational insights into how machines might achieve more sophisticated, human-like social reasoning. While his citation count is modest, this study represents a meaningful step toward bridging artificial intelligence and developmental psychology, offering a framework for designing robots capable of understanding not just actions, but the motivations behind them. His research is particularly relevant for students and engineers working on socially interactive AI, human-robot collaboration, and embodied cognition, where the ability to infer others’ mental states is key to natural and effective interaction.
Research Focus
Key Achievements
Top Papers
- 1