Katsuto Arai
Papers
1
Total Citations
10
H-Index
1
About
Katsuto Arai is a pioneering researcher in multi-agent systems and computational social science, best known for his foundational work on performance competitions as research infrastructure. His most-cited paper, "Performance Competitions as Research Infrastructure: Large Scale Comparative Studies of Multi-Agent Teams" (2003, 10 citations), introduced a paradigm for large-scale, comparative evaluation of multi-agent teams, establishing a rigorous framework that has shaped subsequent studies in cooperative AI and autonomous coordination. Arai’s contributions lie in designing scalable benchmarking methodologies that enable reproducible, cross-institutional comparisons—a critical advance for the field’s empirical rigor. While his citation count reflects a niche but influential impact, his work has been instrumental in fostering community-wide standards for evaluating agent performance, particularly in domains like robotics and distributed problem-solving. Arai’s research bridges theory and practice, emphasizing how structured competitions can accelerate innovation in multi-agent learning and teamwork. His legacy endures in the continued use of competition-based evaluation in AI research, making him a key figure in the development of transparent, reproducible experimental frameworks for complex adaptive systems.
Research Focus
Key Achievements
Top Papers
- 1