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The RoboCup Soccer Server and CMUnited Clients: Implemented Infrastructure for MAS Research.
Itsuki
Noda and Peter Stone.
Autonomous Agents and Multi-Agent Systems,
7(1--2):101–120, July--September 2003.
[PDF]271.2kB [postscript]459.0kB
The RoboCup Soccer Server and associated client code is a growing body of software infrastructure that enables a wide variety of multiagent systems research. The Soccer Server is a multiagent environment that supports 22 independent agents interacting in a complex, real-time environment. AI researchers have been using the Soccer Server to pursue research in a wide variety of areas, such as including real-time multiagent planning, real-time communication methods, collaborative sensing, and multiagent learning. This article describes the current Soccer Server and the champion CMUnited soccer-playing agents, both of which are publically available and used by a growing research community. It also describes the ongoing development of FUSS, a new, flexible simulation environment for multiagent research in a variety of multiagent domains.
@article(MASinfrastructure-AAMAS,
author="Itsuki Noda and Peter Stone",
title="The {R}obo{C}up Soccer Server and {CMU}nited Clients: Implemented Infrastructure for {MAS} Research",
journal="Autonomous Agents and Multi-Agent Systems",
month="July--September",
year="2003",
volume="7",
number="1--2",
pages="101--120",
abstract={
The RoboCup Soccer Server and associated client code
is a growing body of software infrastructure that
enables a wide variety of multiagent systems
research. The Soccer Server is a multiagent
environment that supports 22 independent agents
interacting in a complex, real-time environment. AI
researchers have been using the Soccer Server to
pursue research in a wide variety of areas, such as
including real-time multiagent planning, real-time
communication methods, collaborative sensing, and
multiagent learning. This article describes the
current Soccer Server and the champion
CMUnited soccer-playing agents, both of which
are publically available and used by a growing
research community. It also describes the ongoing
development of FUSS, a new, flexible simulation
environment for multiagent research in a variety of
multiagent domains.
},
)
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