Online Cooperative Behavior Planning Using a Tree Search Method in the RoboCup Soccer Simulation

In this paper, we propose a tree search approach to generate and evaluate cooprative behavior online in multiagent systems. It was difficult to apply a tree search methodology to tasks that the state-action space is continuous and requires realtimeness. However, it has become possible to apply such...

Full description

Saved in:
Bibliographic Details
Published in2012 4th International Conference on Intelligent Networking and Collaborative Systems pp. 170 - 177
Main Authors Akiyama, H., Aramaki, S., Nakashima, T.
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.09.2012
Subjects
Concrete
Decision making
Educational institutions
Games
Learning
Multiagent Systems
Planning
Robo Cup Soccer
Search methods
Tree Search
Online AccessGet full text
ISBN9781467322799
1467322792
DOI10.1109/iNCoS.2012.83

Cover

More Information
Summary:In this paper, we propose a tree search approach to generate and evaluate cooprative behavior online in multiagent systems. It was difficult to apply a tree search methodology to tasks that the state-action space is continuous and requires realtimeness. However, it has become possible to apply such an approach since the computational resources became more powerful today. We applied a tree search method to the Robo Cup soccer 2D simulation and analyzed its effect by evaluating the team performance.
ISBN:9781467322799
1467322792
DOI:10.1109/iNCoS.2012.83