Recovering from Airline Operational Problems with a Multi-Agent System: A Case Study

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2009

Autores

mota, a (Autor) Outra; castro, ajm (Autor) FEUP; reis, lp (Autor) FEUP

Ata de Conferência Internacional

Título: Progress in Artificial Intelligence: Proceedings of the 14th Portuguese Conference on Artificial Intelligence, EPIA2009

Páginas: 461-472

14th EPIA - Portuguese Conference on Artificial Intelligence - EPIA 2009

Universidade de Aveiro, Portugal, 12 a 15 de Outubro de 2009

Indexação

ISI Web of Knowledge - 4 Citações

Scopus - 4 Citações

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

Outras Informações

ID Authenticus: P-003-RW5

DOI: 10.1007/978-3-642-04686-5_38

Abstract (EN): The Airline Operations Control Centre (AOCC) tries to solve unexpected problems during the airline operation. Problems with aircraft, crew members and passengers are common and very hard to solve due to the several variables involved. This paper presents the implementation of a real-world multi-agent system for operations recovery in an airline company. The analysis and design of the system was done following a GAIA based methodology. We present the system specification as well as the implementation using JADE. A case Study is included, where we present how the system solved a real problem.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 12