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Multi-agent Simulation of Airline Travel Markets
Rashad L. Moore1, Ashley Williams1, and John Sheppard2
1MITRE, Corporation, McLean, Virginia
rlmoore@mitre.org
ashley@mitre.org
2ARINC Engineering Services, LLC, Annapolis, Maryland
jsheppar@arinc.com
Abstract. This paper explores the use of a learning classifier system variant, XCS, in learning effective airline decision rules within the context of a multiagent team simulation. From this study a general approach to modeling an airline market has been developed based on a multi-agent, team-based concept. Additionally, several preliminary trials of the simulation have been executed.
LNCS 3103, p. 1322 f.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2004