N. Namikawa
Papers
1
Total Citations
4
H-Index
1
About
N. Namikawa is a researcher in evolutionary robotics and multi-agent systems, with a focus on strategy optimization in competitive simulated environments. Their most cited work, “Robust Evaluation of RoboCup Soccer Strategies by Using Match History” (2006, 4 citations), addresses a critical limitation in evolutionary methods for team strategy development. Namikawa demonstrated that evaluating strategies based on a single game’s goals and goals against is unreliable, proposing instead a robust evaluation framework that leverages match history to improve strategy selection. This contribution enhances the stability and performance of evolved team behaviors in the RoboCup simulated soccer domain, a key testbed for multi-agent coordination. While their citation count is modest, Namikawa’s work is notable for its methodological rigor in addressing evaluation noise in evolutionary computation, offering practical insights for researchers working on adaptive team strategies in dynamic, adversarial environments.
Research Focus
Key Achievements
Top Papers
- 1Robust Evaluation of RoboCup Soccer Strategies by Using Match History4 citations · 2006