Recovering from airline operational problems with a multi-agent system: a case study

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

Autores

António Mota (Autor) FEUP; António J. M. Castro (Autor) FEUP; Luís Paulo Reis (Autor) FEUP

Ata de Conferência Nacional

Título: EPIA'2009 - 14th Portuguese Conference on Artificial Intelligence

Páginas: 461-472

EPIA'2009 - 14th Portuguese Conference on Artificial Intelligence

Aveiro, Portugal, 12 a 15 de Outubro de 2009

Indexação

ISI Proceedings

ISI Web of Science

Scopus

INSPEC

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Tecnológicas > Tecnologia > Tecnologia dos transportes > Tecnologia do transporte aéreo

Outras Informações

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, crewmembers 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