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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Published in | Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection Vol. 10349; pp. 307 - 310 |
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Main Authors | , |
Format | Book Chapter |
Language | English |
Published |
Switzerland
Springer International Publishing AG
2017
Springer International Publishing |
Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
ISBN | 3319599291 9783319599298 |
ISSN | 0302-9743 1611-3349 |
DOI | 10.1007/978-3-319-59930-4_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. |
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ISBN: | 3319599291 9783319599298 |
ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/978-3-319-59930-4_26 |