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

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IJEM 13(3) Paper 3 (1.860Mb)
Author
Calderon, Ana
Johnson, Peter
Date
2017-07-12
Acceptance date
2016-09-01
Type
Article
Publisher
Inderscience
ISSN
1741-5071
Metadata
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Abstract
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.
URI
http://hdl.handle.net/10369/10524
DOI
https://doi.org/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.
Rights
http://www.rioxx.net/licenses/all-rights-reserved
Sponsorship
Cardiff Metropolitan University (Grant ID: Cardiff Metropolian (Internal))
Engineering and Physical Sciences Research Council (Grant ID: EP/J012521/1)
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