Ali Khorsandian
Papers
1
Total Citations
2
H-Index
1
About
Ali Khorsandian is a researcher whose work lies at the intersection of artificial intelligence, robotics, and cognitive modeling, with a particular focus on emotional decision-making in autonomous agents. His most-cited paper, "The structure of personality-based emotional decision making in robotic rescue agent" (2008), explores how personality structures and emotional regulation can enhance an agent’s performance in high-stakes, disaster environments. This foundational work, which has garnered 2 citations, introduces a novel framework for integrating psychological principles into robotic control systems, enabling rescue agents to better navigate harmful and unpredictable conditions. By emphasizing the role of emotional control in decision-making, Khorsandian’s research contributes to the development of more resilient and adaptive autonomous systems, with potential applications in emergency response, search-and-rescue missions, and human-robot interaction. His work bridges the gap between computational models and human-like reasoning, offering insights into how machines can emulate nuanced behavioral traits to improve real-world performance.
Research Focus
Key Achievements
Top Papers
- 1