Managing Disruptions with a Multi-Agent System for Airline Operations Control

Airline companies face a difficult task in controlling their daily operations, in particular managing irregular operations that result from unexpected disruptions affecting scheduled plans. This demo presents MASDIMA, a Multi-Agent System that manages disruptions in airline operational plans produci...

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Bibliographic Details
Published inAdvances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection Vol. 10349; pp. 307 - 310
Main Authors Castro, António J. M., Rocha, Ana Paula
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2017
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
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ISBN3319599291
9783319599298
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-59930-4_26

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Summary:Airline companies face a difficult task in controlling their daily operations, in particular managing irregular operations that result from unexpected disruptions affecting scheduled plans. This demo presents MASDIMA, a Multi-Agent System that manages disruptions in airline operational plans producing intelligent solutions, in the sense that its outcomes are the result of autonomous and collaborative decision making. MASDIMA is able to learn both implicitly, from interactions that happen between their internal agents, and explicitly, from interaction with users.
ISBN:3319599291
9783319599298
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-59930-4_26