文档介绍：Applied Artificial Intelligence, 18:779À795, 2004
Copyright # Taylor & Francis Inc.
ISSN: 0883-9514 print/1087-6545 online
DOI: =088395**********
u MULTI-AGENT SYSTEMS FOR
DECISION SUPPORT: A CASE
STUDY IN THE
TRANSPORTATION
MANAGEMENT DOMAIN
SASCHA OSSOWSKI
Department puter Science, Universidad Rey
Juan Carlos, Moostoles (Madrid), Spain
JOSEFA Z. HERNA´ NDEZ
Department of Artificial Intelligence, Universidad
ica de Madrid, Boadilla del Monte
(Madrid), Spain
MARI´A VICTORIA BELMONTE
ETSI Informaatica, Universidad de Maalaga,
Maalaga, Spain
JOSE´ MASEDA
Information Society Unit, LABEIN Technological
Centre, Zamudio (Vizcaya), Spain
ALBERTO FERNA´ NDEZ
Department puter Science, Universidad Rey
Juan Carlos, Moostoles (Madrid), Spain
ANA GARCI´A-SERRANO
Department of Artificial Intelligence, Universidad
ica de Madrid, Boadilla del Monte
(Madrid), Spain
Work supported by the Spanish Ministry of Science and Technology (MCyT) under grant TIC2000-
1370-C04. The authors would like to thank the Public Works and Transport Department of the Regional
Government of Bizkaia (DFB) as well as the Malaga Local Transport Consortium (EMT) for their
cooperation.
Address correspondence to Sascha Ossowski, Department puter Science, Universidad Rey
Juan Carlos, Calle Tulipaan s=n, 28933 Moostoles (Madrid), Spain. E-mail: ******@
779
780 S. Ossowski et al.
FRANCISCO TRIGUERO
ETSI Informaatica, Universidad de Maalaga,
Maalaga, Spain
JUAN MANUEL SERRANO
Department puter Science, Universidad Rey
Juan Carlos, Moostoles (Madrid), Spain
JOSE´ LUIS PE´ REZ-DE-LA-CRUZ
ETSI Informaatica, Universidad de Maalaga,
Maalaga, Spain
This article describes how agent and knowledge technology can be used to build advanced
software systems that support operational decision making plex domains. In parti-
cular, we present an abstract architecture and design guidelines for agent-based dec