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

• Type: Article in International Conference Proceedings Book
• Date: 2009

Authors

mota, a (Author) Other; castro, ajm (Author) FEUP; reis, lp (Author) FEUP

Conference proceedings International

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

Pages: 461-472

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

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

Indexing

ISI Web of Knowledge - 4 Citations

Scopus - 4 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12