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Patrick Riley. MPADES: Middleware for Parallel Agent Discrete Event
Simulation. In Gal A. Kaminka, Pedro U. Lima, and Raul Rojas, editors, RoboCup-2002:
Robot Soccer World Cup VI, number 2752 in Lecture Notes in Artificial Intelligence, pp. 162–178, Springer Verlag,
Berlin, 2003. RoboCup Engineering Award
Publisher's Webpage©
Springer-Verlag
Simulations are an excellent tool for studying artificial intelligence. However, the simulation technology in use by and designed for the artificial intelligence community often fails to take advantage of much of the work by the larger simulation community to produce stable, repeatable, and efficient simulations. We present the new system Middleware for Parallel Agent Discrete Event Simulation (MPADES) as a simulation substrate for the artificial intelligence community. MPADES focuses on the agent as a fundamental simulation component. The ``thinking time'' of an agent is tracked and reflected in the results of the agents' actions. MPADES supports and manages the distribution of agents across machines while being robust to variations in network performance and machine load. We present the system in detail and give experimental results for a simple world model and set of agents. MPADES is not tied to any particular simulation, and is a powerful new tool for creating simulations for the study of artificial intelligence.
@InCollection(LNAI02-mpades,
Author = "Patrick Riley",
Title = "{MPADES}: Middleware for Parallel Agent Discrete Event
Simulation",
booktitle = "{R}obo{C}up-2002: Robot Soccer World Cup {VI}",
Editor = "Gal A. Kaminka and Pedro U. Lima and Raul Rojas",
Publisher = "Springer Verlag",
address = "Berlin",
year = 2003,
series = {Lecture Notes in Artificial Intelligence},
number = {2752},
pages = {162--178},
note = {{\it RoboCup Engineering Award}},
wwwnote = {<a href="http://www.springer.de/comp/lncs/index.html">Publisher's Webpage</a>© Springer-Verlag},
abstract = {Simulations are an excellent tool for studying
artificial intelligence. However, the simulation
technology in use by and designed for the artificial
intelligence community often fails to take advantage
of much of the work by the larger simulation
community to produce stable, repeatable, and
efficient simulations. We present the new system
Middleware for Parallel Agent Discrete Event
Simulation (MPADES) as a simulation substrate for
the artificial intelligence community. MPADES
focuses on the agent as a fundamental simulation
component. The ``thinking time'' of an agent is
tracked and reflected in the results of the agents'
actions. MPADES supports and manages the
distribution of agents across machines while being
robust to variations in network performance and
machine load. We present the system in detail and
give experimental results for a simple world model
and set of agents. MPADES is not tied to any
particular simulation, and is a powerful new tool
for creating simulations for the study of artificial
intelligence. },
bib2html_pubtype = {Refereed Conference,Award Winner},
bib2html_rescat = {Simulation},
bib2html_funding = {NSF,CoABS,ActiveTemplates},
)
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