Irina Rabkina’s research interests lie at the intersection of artificial intelligence (AI) and cognitive science. She wants to build AI systems that think in the same ways that people do.
Irina Rabkina wants to build artificial intelligence (AI) systems that think in the same ways that people do. Most of her work has focused on social reasoning (i.e., reasoning about the mental states of others), which has implications for multi-agent interaction, human-robot interaction, natural language understanding, and AI game play, among others. If you are an Oxy student interested in getting involved in research in any of these areas, send Irina an email to set up a time to chat.
Nakos, C., Rabkina, I., Hill, S., & Forbus, K. D. (2020). Corrective Processes in Modeling Reference Resolution. Proceedings of the 42nd Meeting of the Cognitive Science Society. Online.
Rabkina, I., Kantharaju, P., Roberts, M., Wilson, J. R., Forbus, K. D., & Hiatt, L. M. (2020). Recognizing Goals of Uninspectable Agents. Proceedings of the 8th Annual Conference on Advances in Cognitive Systems. Online.
Wilson, J., Gilpin, L., & Rabkina, I. (2020). A Knowledge Driven Approach to Adaptive Assistance Using Preference Reasoning and Explanation. AAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction (AI-HRI). Online.