Information extraction in emergency management missions: an adaptive multi-agent approach

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Author
Calderon, Ana
Johnson, Peter
Date
2017-07-12Acceptance date
2016-09-01
Type
Article
Publisher
Inderscience
ISSN
1741-5071
Metadata
Show full item recordAbstract
With increasing demands for autonomous agents to work alongside humans in emergency management response (EMR), considerations of translations of human to machine language (and the converse) are timely. We present a prototype where the translation is dealt with by restricting communications to occur through a form of controlled natural language (CNL) (Fuchs and Schwitter, 1995). The prototype is new in that it allows for communications between both physical and virtual autonomous agents, agents are assigned different levels of autonomy, and it includes a level of information hiding that allows for information to be passed to relevant agents, whilst keeping those (humans) involved anonymous. A real-life mission is then used to exemplify how information is retrieved and communicated in the prototype. Finally, some usability experimental results are presented.
Journal/conference proceeding
International Journal of Emergency Management;
Citation
Calderon, A.C. and Johnson, P. (2017) 'Information extraction in emergency management missions: an adaptive multi-agent approach', International Journal of Emergency Management, 13(3), pp.216-234. DOI: 10.1504/IJEM.2017.085007.
Description
Article published in International Journal of Emergency Management on 12 July 2017 (online), available at: https://doi.org/10.1504/IJEM.2017.085007.
Sponsorship
Cardiff Metropolitan University (Grant ID: Cardiff Metropolian (Internal))
Engineering and Physical Sciences Research Council (Grant ID: EP/J012521/1)
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