Decision Support during Biological Incident Management: the Employment of Multi-agent Simulations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F12%3A50002627" target="_blank" >RIV/62690094:18450/12:50002627 - isvavai.cz</a>
Result on the web
<a href="http://www.wseas.org/multimedia/journals/biology/2012/53-603.pdf" target="_blank" >http://www.wseas.org/multimedia/journals/biology/2012/53-603.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Decision Support during Biological Incident Management: the Employment of Multi-agent Simulations
Original language description
Decision making processes during biological incident management represent challenging and demanding as well as complex and important task. Various principles such as partial differential equations or Markov chains have been already utilized for the modeldevelopment. Nevertheless, the multi-agent technologies can be also effectively employed. As an example, this paper presents model utilizable for the management of biological incidents created in the multi-agent NetLogo environment. The main contribution to the scientific field includes the characterization of specifics related to discussed type of decision-making process. Moreover, within the paper the description of the simulation model is provided, parameterization is explained, and areas for further research are outlined.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
WSEAS transactions on biology and biomedicine
ISSN
1109-9518
e-ISSN
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Volume of the periodical
9
Issue of the periodical within the volume
3
Country of publishing house
GR - GREECE
Number of pages
10
Pages from-to
67-76
UT code for WoS article
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EID of the result in the Scopus database
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