Hitoshi Matsubara, Itsuki Noda, and Kazuo Hiraki
From the standpoint of multi-agent systems, soccer (association football), which is just one of usual team sports, make a good example of problems in the real world which is moderately abstracted. We have chosen soccer as one of standard problems for the study on multi-agent systems, and we are now developing a soccer server, which provides a common test-bench to various multi-agent systems. We present an experiment on cooperative action learning among soccerplayer agents on the server. Our soccer agent can learn whether he should shoot a ball or pass it.