Soccer server

Soccer server: a tool for research on multi-agent systems. This article describes Soccer Server, a simulator of the game of soccer designed as a benchmark for evaluating multiagent systems and cooperative algorithms. In real life, successful soccer teams require many qualities, such as basic ball control skills, the ability to carry out strategies, and teamwork. We believe that simulating such behaviors is a significant challenge for computer science, artificial intelligence, and robotics technologies. It is to promote the development of such technologies, and to help define a new standard problem for research, that we have developed Soccer Server. We demonstrate the potential of Soccer Server by reporting an experiment that uses the system to compare the performance of a neural network architecture and a decision tree algorithm at learning the selection of soccer play plans. Other researchers using Soccer Server to investigate the nature of cooperative behavior in a multiagent environment will have the chance to assess their progress at RoboCup-97, an international competition of robotic soccer to be held in conjunction with IJCAI-97. Soccer Server has been chosen as the official server for this contest.


References in zbMATH (referenced in 10 articles , 1 standard article )

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  1. Almeida, Fernando; Abreu, Pedro Henriques; Lau, Nuno; Reis, Luís Paulo: An automatic approach to extract goal plans from soccer simulated matches (2013) ioport
  2. Girgin, Sertan; Polat, Faruk; Alhajj, Reda: Improving reinforcement learning by using sequence trees (2010) ioport
  3. Whiteson, Shimon; Taylor, Matthew E.; Stone, Peter: Critical factors in the empirical performance of temporal difference and evolutionary methods for reinforcement learning (2010) ioport
  4. Artikis, Alexander; Sergot, Marek; Pitt, Jeremy: Specifying norm-governed computational societies (2009)
  5. Stone, Peter: Multiagent learning is not the answer. It is the question (2007)
  6. Riedmiller, Martin; Gabel, Thomas; Hafner, Roland; Lange, Sascha; Lauer, Martin: Die Brainstormers: Entwurfsprinzipien lernfähiger autonomer Roboter (2006) ioport
  7. Riley, Patrick; Veloso, Manuela M.: Coach planning with opponent models for distributed execution. (2006) ioport
  8. Whiteson, Shimon; Kohl, Nate; Miikkulainen, Risto; Stone, Peter: Evolving soccer keepaway players through task decomposition (2005) ioport
  9. Whiteson, Shimon; Kohl, Nate; Miikkulainen, Risto; Stone, Peter: Evolving soccer keepaway players through task decomposition (2005) ioport
  10. Noda, Itsuki; Matsubara, Hitoshi; Hiraki, Kazuo; Frank, Ian: Soccer server: A tool for research on multiagent systems. (1998) ioport