Kate Larson

Papers

Total Citations

194

H-Index

About

Kate Larson is a leading researcher in artificial intelligence, with a primary focus on multi-agent systems, game theory, and computational social choice. Her work bridges theoretical foundations and practical applications, particularly in designing algorithms for strategic decision-making, mechanism design, and resource allocation. Larson is perhaps best known for her contributions to the study of autonomous agents and their interactions, including seminal work on coalition formation, negotiation, and the analysis of incentives in multi-agent environments. Her research has been widely influential, with her most-cited paper—the proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2017)—garnering nearly 200 citations, reflecting her central role in shaping this premier forum. Beyond this, her broader body of work has accumulated thousands of citations, underscoring its impact on AI and economics. Larson has also been recognized for her leadership in the field, serving as program chair for major conferences and contributing to policy discussions on AI ethics. Her research continues to inspire students and researchers exploring the intersection of computation, cooperation, and competition.