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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
A journal of IFAC, the International Federation of Automatic Control
http://www.journals.elsevier.com/engineering-applications-of-artificial-intelligence/
CALL FOR PAPERS -- SPECIAL ISSUE:
‘Innovative Artificial Intelligence solutions and/or applications
for crisis management’
Disasters or emergencies, resulting from natural or man-made disasters, require information and experienced
responders to be managed. To improve the response efficiency of such a situation, more and more information
technologies are used. Consequently, a great deal of information is henceforth available and should be exploited
to improve the management of the crisis, which generally means making the best decision at the right time. To
manage this new complexity, Artificial Intelligence (AI) approaches seem to be good candidates, as they have
already proved successful in other information-intensive, knowledge-critical domains including business,
engineering or medicine.
In crisis context, information and knowledge are widely distributed but the resources are generally not efficiently
organized and often badly used during operations. Moreover the nature, the number and the incentives of
stakeholders vary tremendously and each crisis requires its own management processes. Nevertheless, the way
crises impact victims or business processes can be similar and the responses often transferrable from one crisis to
another, at least partly. A conceptualization is thus required to explicit and exploit the related knowledge in an
efficient and responsive decision-making process.
This raises several issues regarding innovative AI systems dedicated to crisis management such as:
- Crisis knowledge-based or ontology-driven systems;
- Crisis automated planning and optimization models;
- Crisis advanced reasoning systems;
- Crisis learning methods;
- Crisis artificial neural network approaches;
- Crisis data-mining systems;
- …
Accordingly, AI technologies and methods offer attractive prospects to design and manage crisis response
processes. This special issue proposes to cope with these problem statements by publishing original and/or
innovative papers on this topic such as surveys, research works, application cases or software reviews. Research
contributions on the possible use of emerging technologies to enhance collective computational intelligence in
managing crisis situations are particularly welcome.
KEYWORDS
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Crisis management;
Decision support systems;
Knowledge management systems;
Reasoning systems;
Learning systems;
Data-mining systems;
Real-time intelligent automation;
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Intelligent detection and adaptation;
Meta-heuristic and optimization for
intelligent automation;
Neural networks and fuzzy systems;
Distributed AI systems;
Internet of Things and Internet of Service;
Big Data and Open Data.
SUBMISSION PROCEDURE
Full papers can be submitted to: http://ees.elsevier.com/eaai (all manuscripts should follow the submission
guidelines available at the web site). During the submission process, please select special issue as paper category
and choose the relevant item. Please submit papers on or before October 31, 2014. All submissions will be peerreviewed following the review process of EAAI. Prospective authors are encouraged to indicate their interests any
time before the submission deadline. The special issue should be published by the end of 2015.
GUEST EDITORS
Dr. Matthieu LAURAS
University of Toulouse – Mines Albi, France, [email protected]
Dr. Martina COMES
University of Agder, Centre for Integrated Emergency Management, Norway, [email protected]