Tomoharu Nakashima
Papers
2
Total Citations
15
H-Index
2
About
Tomoharu Nakashima is a researcher whose work lies at the intersection of evolutionary computation and multi-agent systems, with a particular focus on the RoboCup simulated soccer domain. His major contributions center on improving how team strategies are evolved and evaluated in competitive, dynamic environments. Nakashima identified a critical flaw in earlier evolutionary methods—where a single game’s outcome could prematurely eliminate a promising strategy—and proposed robust solutions using match history to ensure more reliable performance assessment. His most cited paper, "The Effect of Using Match History on the Evolution of RoboCup Soccer Team Strategies" (2006, 11 citations), demonstrates how incorporating historical match data can significantly enhance the evolution of cooperative team behaviors. A follow-up study (2006, 4 citations) further refined this evaluation methodology. While his citation counts are modest, Nakashima’s work is notable for addressing a fundamental challenge in evolutionary robotics: the need for stable, repeatable evaluation in noisy, adversarial settings. His research provides practical insights for anyone developing adaptive strategies in competitive multi-agent systems, making him a valuable reference for students and researchers in evolutionary robotics and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robust Evaluation of RoboCup Soccer Strategies by Using Match History4 citations · 2006